ECE 6640 Digital Communications

Size: px
Start display at page:

Download "ECE 6640 Digital Communications"

Transcription

1 ECE 6640 Digital Communication Dr. Bradley J. Bazuin Aitant Profeor Department of Electrical and Computer Engineering College of Engineering and Applied Science

2 Chapter. Formatting and Baeband Modulation. 1. Baeband Sytem.. Formatting Textual Data (Character Coding). 3. Meage, Character, and Symbol. 4. Formatting Analog Information. 5. Source of Corruption. 6. Pule Code Modulation. 7. Uniform and Nonuniform Quantization. 8. Baeband Modulation. 9. Correlative Coding. ECE 6640

3 Sklar Communication Sytem Note and figure are baed on or taken from material in the coure textbook: ECE 6640 Bernard Sklar, Digital Communication, Fundamental and Application, 3 Prentice Hall PTR, Second Edition, 001.

4 Signal Proceing Function ECE 6640 Note and figure are baed on or taken from material in the coure textbook: Bernard Sklar, Digital Communication, Fundamental and Application, Prentice Hall PTR, Second Edition,

5 Formatting Inure that the meage i compatible with digital proceing Tranmit formatting i where the ource information i tranlated into digital ymbol When data compreion i alo employed, the proce i called ource coding. (ee Chap. 13) ECE

6 Baeband Signaling Generation of the baeband waveform from the digital ymbol provide by formatting or ource coding. Thi could take the form of pule modulation or pule code modulation. The baeband ignal may be ent uing a wired connection or network to a receiver. ECE

7 Formatting and Tranmiion Digital info. ource Textual info. Analog info. Sample Format Quantize Encode Pule modulate Tranmit ink Analog info. Textual info. Low-pa filter Format Decode Bit tream Pule waveform Demodulate/ Detect Channel Receive Digital info. ECE

8 Textual Data 5-bit coding Baudot: 3 character, alphabet plu 6 7-bit coding ASCII: American Standard Code for Information Interchange Originally for telegraph therefore extra field 8-bit coding EBCDIC: Extended Binary Coded Decimal Interchange Code IBM ytem 16-bit coding Unicode Code may be ent erially with tart, parity and top bit Code may be tructure a word/ymbol ECE

9 Data Format for Aynchronou Data Communication Data i tranmitted character by character bit-erially. A character conit of one tart bit (0-level) 7 to 8 data bit (often, an ASCII character plu a parity bit) an optional parity bit one, or one and a half, or two top bit (1-level) leat ignificant bit i tranmitted firt mot ignificant bit i tranmitted lat ECE 6640 The tranmiion i a burt occurring at an unknown time but with known bit period. 9

10 The EIA-3E Electrical Specification Electrical ignal on a pair of wire ignal and ground. ECE

11 Meage, Character and Symbol Meage i encoded into a equence of bit The bit tream may be a baedband ignal ASCII can generate a continuou bit tream if idle character are 1 Grouping of k-bit can be formed into ymbol M-ary ytem ue ymbol et where M=^k For k=1, the bit rate and ymbol rate are the ame Defined waveform repreent each of the ymbol Therefore a meage baed bit tream can be repreented a a tring of Octal or Hex character in equence! ECE See Text Figure.5

12 A Review of Sampling Theorem We ue digital ignal proceing to tranmit and receive all form of communication. Digital communication inherently decribe bit value and ymbol value that conceptually exit for a defined period of time and the intantaneouly witch to another value. The tranmitted ignal can not phyically do thi! Tranmitted ignal mut exit at defined frequencie and within defined bandwidth limited bandwidth often tart at baeband. We may not dicu or imulate all the real world effect even in thi cla. ECE

13 Analog to Digital Converion Sampling Sampling Theorem Nyquit rate f>=*fmax Sample Rate Sample Period Impule Sampling Function x x t t n k 1 ECE T t x t x t x t t n T n x t xn T t n T n f T T 1 f w

14 Fourier Domain Replicated Spectra X X X X 1 T f f n f X n f Xf X f f X Xf ECE d f n f Xf 1 T 1 T k f n f Xf X k 1 T f Xf n f k d d

15 Fourier Domain Spectral replication at tep of f Appear a the convolution of the original pectrum by a comb waveform paced a f If the Nyquit rate i not maintained, the convolved element will overlap and become ditorted See Figure.6 on p. 64 Note: Signal are not typically band limited; therefore, there will be ome aliaing whenever ampling i performed ECE

16 Sampling Pule and Filter While Nyquit Theory and Impule Sampling i mathematically wonderful. Sampling rate above Nyquit are more practical (Fig..7). fmax for audio example (0 khz v kp CD rate) Impule mut be approximated by ignal with real duration and magnitude (Section.4.1. Natural Sampling and Fig..8) Sample by infinite equence of rect Math equivalent of convolving ampling impule with rect in time In frequency, convolve infinite replica with inc amp mod impule When thi ampling ignal i ued (mult. in time, conv. In freq.) you get Fig..8 X 1 T f c X f n f k ECE k

17 Sample and Hold, Zero Order Hold Typical ADC ue a ample and hold prior to the ADC Sampling i typically an integration of the ignal for a fixed ampling period Hold i to inure the ADC ha a table ignal for a defined period of time (converion time) x t p t x t x t p t x t t n p T p t rect n t T ECE

18 ZOF Spectral Domain X p X p 1 f P f Xf n f T k The pectrum i haped by the inc function. 1 f T incf T Xf n f X p Note that if pectral analyi i being performed, an invere inc weighting hould be applied to correct the output. ECE T k f incf T Xf n f k

19 Filter and Aliaing If a ignal i under-ampled the output will have pectral content that i not deired. Engineering Nyquit. x fmax With digital pot filtering, ample at 4 x fmax (or 4.4) and then ue a half-band filter decimator (may be le expenive) If additional digital filtering will be employed, aliaed region of the pectrum may be digitally removed. Thi allow the tranition band to overlap and the topband to be placed nearer to the paband edge. ECE

20 Filter Terminology BW PB SF BW SB BW BW SB PB Paband Frequencie where ignal i meant to pa Stopband Frequencie where ome defined level of attenuation i deired Tranition-band The tranition frequencie between the paband and the topband Filter Shape Factor The ratio of the topband bandwidth to the paband bandwidth See FilterNote and FIR_Filter_DSPNote or MRSP Chap 4 Nyquit/Raied Coine Filter ECE

21 Reducing the Sample Rate If additional digital filtering will be employed, aliaed region of the pectrum may be digitally removed. Thi allow the tranition band to overlap and the topband to be placed nearer to the paband edge. Dynamic Range ECE

22 Overampling Without Overampling High performance LPF Nyquit Sampling till include ome aliaed component With Overampling Lower performance LPF Aliaed component can be ignificantly reduced High performance digital filter may be employed Identical or imilar data rate can be achieved ECE 6640

23 .5 Source of Corruption Quantization Noie Saturation Timing Jitter See Analog Device Radio Interymbol Interference (ISI) ECE

24 Quantization Noie Round-off Error +/- one half of the LSB Uniform error ditribution about the quantized value Error mean 0 Error Variance q^/1 Truncation Error 0 to +1 LSB Uniform error ditribution from one quantized value to the next Error mean 1/ Error Variance q^/1 q 1 ECE q 1 q 1 q e q q 3 e 3 p e q q e q de de 1 q 3 q 4 q 4 3

25 Quantization Level The level defined for a typical L-level (^k=l) ADC Quantized value rm V p q L ECE

26 Quantized Peak SNR For an L level quantized ytem, letting power be the quare of one half the rm value of a maximum ine wave q L rm Vp The etimated ignal to noie ratio i SNR q q L For 8-bit or 56 level q 1 ECE q L 8 SNR Nominally 6 db per bit q 1 q SNR q 3 L rm V p 49.9dB

27 Interymbol Interference Web InterSymbol Interference (ISI) Nyquit ISI Criterion Inter Symbol Interference (ISI) and Raied coine filtering From C. Langton Complex to Real web ite Other clae (ECE6950 MRSP Chap. 4) A raied coine window/filter i a form of Nyquit filtering A combined tranmitting and receiving filter, each ue a quareroot raied coine filter. ECE

28 .6 Pule Code Modulation Ue the digital word/ymbol generated for each character or ADC value Note that the more information or accuracy per ymbol, a higher bit rate i required to maintain the ymbol rate F demand a fixed, contant communication rate Text may be ent at any rate that i acceptable (non real-time) Thi can alo be referred to a Amplitude Shift Keying Note that ADC value if ent a pule would be called PAM or pule amplitude modulation ECE PAM may be dicrete or quantized

29 .7 Uniform v. Nonuniform Uniform (linear) quantizing: No aumption about amplitude tatitic and correlation propertie of the input. Robut to mall change in input tatitic by not finely tuned to a pecific et of input parameter Simply implemented Non-uniform quantizing: Uing the input tatitic to tune quantizer parameter Larger SNR than uniform quantizing with ame number of level Non-uniform interval in the dynamic range with ame quantization noie variance ECE

30 Uniform v. Nonuniform () Application of linear quantizer: Signal proceing, graphic and diplay application, proce control application Application of non-uniform quantizer: Commonly ued for peech u-law in US, A-law in Europe ECE

31 Nonuniform Quantization When ome portion of the voltage range are not often ued, additional emphai can be given to thoe that are. μ-law algorithm (North America μ=55) A-law algorithm (Stnadard Value A=87.6) ECE

32 Baeband Signaling Generation of the baeband waveform from the digital ymbol provide by formatting or ource coding. Thi could take the form of pule modulation or pule code modulation. The baeband ignal may be ent uing a wired connection or network to a receiver. ECE

33 PCM Tranmiion Pule code modulation (PCM) i ued when a binary data tream i to be ent In PCM the binary equence i ued to define logical ignal level for tranmiion. A logical level may map to bit (e.g. 0-High, 1-Low) A bit value may define whether a level change or not Mark : change whenever the bit i a one Space: change whenever the bit i a zero Period half-cycle can take on variou tructure baed on a bit value or the equence of bit See Figure. on p. 87 ECE

34 PCM Common Waveform Type Mark (1 ) and Space (0 ) Non-return-to-zero (NRZ) Level, Mark, Space Return-to-zero (RZ) unipolar, bipolar, AMI (alternate mark inverion) Mancheter biphae level, biphae mark, biphae pace ECE

35 PCM Type NRZ Bipolar RZ Mancheter Biphae Mark Code AMI-Bipolar Encoding (Alternate Mark Inverion) ECE

36 PCM Type Selection Spectral characteritic (power pectral denity and bandwidth efficiency) Bit ynchronization capability Error detection capability Interference and noie immunity Implementation cot and complexity ECE

37 Spectral Attribute of PCM ECE

38 M-ary Pule-Modulation Waveform M-ary modulation i ued when ymbol data tream i to be ent M-ary waveform include: PAM: Pule-Amplitude Modulation PPM: Pule-Poition Modulation PDM: Pule-Duration Modulation or PWM: Pule-Width Modulation Multiple level can be tranmitted a one ymbol Other M-ary waveform QAM: Quadrature-Amplitude Modulation ECE

39 Correlative Code Web ite: Complex technology made real Complex communication technology made eay or Complex to Real by Charan Langton Tutorial 16 Partial Repone ignaling and Quadrature Partial Repone (QPR) modulation ECE

ECE 6640 Digital Communications

ECE 6640 Digital Communications ECE 6640 Digital Communication Dr. Bradley J. Bazuin Aitant Profeor Department of Electrical and Computer Engineering College of Engineering and Applied Science Chapter 2 2. Formatting and Baeband Modulation.

More information

Formatting and Baseband. Formatting & Baseband. Page 1. Formatting and Baseband Modulation. CSE4214 Digital Communications

Formatting and Baseband. Formatting & Baseband. Page 1. Formatting and Baseband Modulation. CSE4214 Digital Communications CSE4214 Digital Communication CSE4214 Digital Communication Chapter 2 Formatting Formatting and Baeband Modulation Formatting & Baeband Formatting and Baeband 3 4 Page 1 1 What i Formatting? Information

More information

Communication Systems, 5e

Communication Systems, 5e Communication Sytem, 5e Chapter 6: Sampling and pule modulation A. Bruce Carlon Paul B. Crilly 00 The McGraw-Hill Companie Chapter 6: Sampling and pule modulation Sampling theory and practice Pule-amplitude

More information

DIGITAL COMMUNICATION

DIGITAL COMMUNICATION DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING DIGITAL COMMUNICATION Spring 2010 Yrd. Doç. Dr. Burak Kelleci OUTLINE Line Code Differential Encoding Regeneration, Decoding and Filtering Delta Modulation

More information

Comm 502: Communication Theory. Lecture 5. Intersymbol Interference FDM TDM

Comm 502: Communication Theory. Lecture 5. Intersymbol Interference FDM TDM Lecture 5 Interymbol Interference FDM TDM 1 Time Limited Waveform Time-Limited Signal = Frequency Unlimited Spectrum Square Pule i a Time-Limited Signal Fourier Tranform 0 T S -3/T S -2/T S -1/T S 0 1/T

More information

EELE Lecture 11 Filter example, Bandwidth definitions and BPSK example

EELE Lecture 11 Filter example, Bandwidth definitions and BPSK example EELE445-14 Lecture 11 Filter example, Bandwidth definition and BPSK example Example: White noie through filter 0 S n (f) RC LPF fc = 10 MHz Find S n (f) in Watt/Hz The equivalent noie bandwidth of the

More information

UNIVERSITY OF SASKATCHEWAN EE456: Digital Communications FINAL EXAM, 9:00AM 12:00PM, December 9, 2010 (open-book) Examiner: Ha H.

UNIVERSITY OF SASKATCHEWAN EE456: Digital Communications FINAL EXAM, 9:00AM 12:00PM, December 9, 2010 (open-book) Examiner: Ha H. Name: Page 1 UNIVERSIY OF SASKACHEWAN EE456: Digital Communication FINAL EXAM, 9:00AM 1:00PM, December 9, 010 (open-book) Examiner: Ha H. Nguyen Permitted Material: Only textbook and calculator here are

More information

Typical wireless DSP system. Lecture 2 Data Conversion. Typical hard disk DSP system. Typical PCM voiceband DSP system.

Typical wireless DSP system. Lecture 2 Data Conversion. Typical hard disk DSP system. Typical PCM voiceband DSP system. Lecture Data Converion Typical wirele DSP ytem Objective: Review ignal converion in context of DSP ytem Important iue relating to ignal converion including: Sampling and aliaing Signal to quantization

More information

SCK LAB MANUAL SAMPLE

SCK LAB MANUAL SAMPLE SCK LAB MANUAL SAMPLE VERSION 1.2 THIS SAMPLE INCLUDES: TABLE OF CONTENTS TWO SELECTED LABS FULL VERSION IS PROVIDED FREE WITH KITS Phone: +92 51 8356095, Fax: +92 51 8311056 Email: info@renzym.com, URL:www.renzym.com

More information

DESIGN OF SECOND ORDER SIGMA-DELTA MODULATOR FOR AUDIO APPLICATIONS

DESIGN OF SECOND ORDER SIGMA-DELTA MODULATOR FOR AUDIO APPLICATIONS DESIGN OF SECOND ORDER SIGMA-DELTA MODULATOR FOR AUDIO APPLICATIONS 1 DHANABAL R, 2 BHARATHI V, 3 NAAMATHEERTHAM R SAMHITHA, 4 G.SRI CHANDRAKIRAN, 5 SAI PRAMOD KOLLI 1 Aitant Profeor (Senior Grade), VLSI

More information

AN EVALUATION OF DIGILTAL ANTI-ALIASING FILTER FOR SPACE TELEMETRY SYSTEMS

AN EVALUATION OF DIGILTAL ANTI-ALIASING FILTER FOR SPACE TELEMETRY SYSTEMS AN EVALUATION OF DIGILTAL ANTI-ALIASING FILTER FOR SPACE TELEMETRY SYSTEMS Alion de Oliveira Morae (1), Joé Antonio Azevedo Duarte (1), Sergio Fugivara (1) (1) Comando-Geral de Tecnologia Aeroepacial,

More information

The Performance Analysis of MIMO OFDM System with Different M-QAM Modulation and Convolution Channel Coding

The Performance Analysis of MIMO OFDM System with Different M-QAM Modulation and Convolution Channel Coding The Performance Analyi of MIMO OFDM Sytem with Different M-QAM Modulation and Convolution Channel Coding H. S. Shwetha M.tech, Digital Communication Engineering Siddaganga Intitute of Technology Tumakuru,

More information

Research and Analysis of Digital Baseband Transmission System Based on MATLAB

Research and Analysis of Digital Baseband Transmission System Based on MATLAB Journal of Secure Communication and Sytem (017) Original Reearch Article Reearch and Analyi of Digital Baeband ranmiion Sytem Baed on MALAB Jianwen Chai,Yinghui Nie Phyic and Electronic Intitute, Hanzhong

More information

ECS455: Chapter 5 OFDM

ECS455: Chapter 5 OFDM ECS455: Chapter 5 OFDM 1 Dr.Prapun Sukompong prapun.com/ec455 Office Hour: BKD 3601-7 Tueday 9:30-10:30 Friday 14:00-16:00 2 OFDM: Overview Let S 1, S 2,, S N be the information ymbol. The dicrete baeband

More information

Mobile Communications TCS 455

Mobile Communications TCS 455 Mobile Communication TCS 455 Dr. Prapun Sukompong prapun@iit.tu.ac.th Lecture 23 1 Office Hour: BKD 3601-7 Tueday 14:00-16:00 Thurday 9:30-11:30 Announcement Read Chapter 9: 9.1 9.5 Section 1.2 from [Bahai,

More information

Chapter Introduction

Chapter Introduction Chapter-6 Performance Analyi of Cuk Converter uing Optimal Controller 6.1 Introduction In thi chapter two control trategie Proportional Integral controller and Linear Quadratic Regulator for a non-iolated

More information

An FM signal in the region of 4.2 to 4.6

An FM signal in the region of 4.2 to 4.6 A LOW COST, HIGH ACCURACY RADAR ALTIMETER Thi article decribe the development of a frequency modulated (FM) radar altimeter for meauring the height of flying object. The entire tructure comprie two part:

More information

Pulse Interval Modulation Dual Header (PIM-DH)

Pulse Interval Modulation Dual Header (PIM-DH) Pule Interval Modulation Dual Header () N. Aldiiat, Z. Ghaemlooy, and R. Saatchi Electronic Reearch Group, School of Engineering Sheffield Hallam Univerity Sheaf Building, Pond Street Sheffield S WB United

More information

MIMO Systems: Multiple Antenna Techniques

MIMO Systems: Multiple Antenna Techniques ADVANCED MIMO SYSTEMS MIMO Sytem: Multiple Antenna Technique Yiqing ZOU, Zhengang PAN, Kai-Kit WONG Dr, Senior Member of IEEE, Aociate Editor, IEEE TWirele, IEEE CL, and JoC (AP), Senior Lecturer, Department

More information

Pilot Symbol Assisted Modulation using 16-Level QAM for a Wireless System

Pilot Symbol Assisted Modulation using 16-Level QAM for a Wireless System Pilot Symbol Aited Modulation uing 16-Level QAM for a Wirele Sytem Pilot Symbol Aited Modulation uing 16-Level QAM for a Wirele Sytem Angela DARIE, Ion BOGDAN Rezumat. Modulaţia cu imbol pilot(psam) ete

More information

Observations on Windows

Observations on Windows Obervation on Window Window with low idelobe level have large tranition bandwidth'. Tranition bandwidth i inverely proportional to N for a given window. Indeed, the ratio of tranition width over idelobe

More information

IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 11, 2016 ISSN (online):

IJSRD - International Journal for Scientific Research & Development Vol. 3, Issue 11, 2016 ISSN (online): IJSRD - International Journal for Scientific Reearch & Development Vol. 3, Iue 11, 2016 ISSN (online): 2321-0613 Deign and Analyi of IIR Peak & Notch Ravi Choudhary 1 Pankaj Rai 2 1 M.Tech. Student 2 Aociate

More information

ELG4139: Passive Filters

ELG4139: Passive Filters EG439: Paive Filter A ilter i a ytem that procee a ignal in ome deired ahion. There are two broad categorie o ilter: An analog ilter procee continuou-time ignal A digital ilter procee dicrete-time ignal.

More information

A Faster and Accurate Method for Spectral Testing Applicable to Noncoherent Data

A Faster and Accurate Method for Spectral Testing Applicable to Noncoherent Data A Fater and Accurate ethod for Spectral Teting Applicable to Noncoherent Data inhun Wu 1,2, Degang Chen 2, Guican Chen 1 1 School of Electronic and Information Engineering Xi an Jiaotong Univerity, Xi

More information

MODAL ANALYSIS OF A BEAM WITH CLOSELY SPACED MODE SHAPES

MODAL ANALYSIS OF A BEAM WITH CLOSELY SPACED MODE SHAPES ME 164 Senior Captone Deign The Cooper Union Spring 2011 MODAL ANALYSIS O A BEAM WITH CLOSELY SPACED MODE SHAPES Eglind Myftiu The Cooper Union New York City, NY, USA ABSTRACT Thi paper invetigate the

More information

Gemini. The errors from the servo system are considered as the superposition of three things:

Gemini. The errors from the servo system are considered as the superposition of three things: Gemini Mount Control Sytem Report Prediction Of Servo Error Uing Simulink Model Gemini 9 July 1996 MCSJDW (Iue 3) - Decribe the proce of etimating the performance of the main axi ervo uing the non-linear

More information

Synthetic aperture radar raw signal simulator for both pulsed and FM-CW modes

Synthetic aperture radar raw signal simulator for both pulsed and FM-CW modes Computational Method and Experimental Meaurement XV 43 Synthetic aperture radar raw ignal imulator for both puled and FM-CW mode P. Serafi C. Lenik & A. Kawalec Intitute of adioelectronic, Military Univerity

More information

MAX3610 Synthesizer-Based Crystal Oscillator Enables Low-Cost, High-Performance Clock Sources

MAX3610 Synthesizer-Based Crystal Oscillator Enables Low-Cost, High-Performance Clock Sources Deign Note: HFDN-31.0 Rev.1; 04/08 MAX3610 Syntheizer-Baed Crytal Ocillator Enable Low-Cot, High-Performance Clock Source MAX3610 Syntheizer-Baed Crytal Ocillator Enable Low-Cot, High-Performance Clock

More information

EEE 309 Communication Theory

EEE 309 Communication Theory EEE 309 Communication Theory Semester: January 2017 Dr. Md. Farhad Hossain Associate Professor Department of EEE, BUET Email: mfarhadhossain@eee.buet.ac.bd Office: ECE 331, ECE Building Types of Modulation

More information

Frequency Calibration of A/D Converter in Software GPS Receivers

Frequency Calibration of A/D Converter in Software GPS Receivers Frequency Calibration of A/D Converter in Software GPS Receiver L. L. Liou, D. M. Lin, J. B. Tui J. Schamu Senor Directorate Air Force Reearch Laboratory Abtract--- Thi paper preent a oftware-baed method

More information

A Simple DSP Laboratory Project for Teaching Real-Time Signal Sampling Rate Conversions

A Simple DSP Laboratory Project for Teaching Real-Time Signal Sampling Rate Conversions A Simple DSP Laboratory Project for Teaching Real-Time Signal Sampling Rate Converion by Li Tan, Ph.D. lizhetan@pnc.edu Department of ECET Purdue Univerity North Central Wetville, Indiana Jean Jiang, Ph.D.

More information

Produced in cooperation with. Revision: May 26, Overview

Produced in cooperation with. Revision: May 26, Overview Lab Aignment 6: Tranfer Function Analyi Reviion: May 6, 007 Produced in cooperation with www.digilentinc.com Overview In thi lab, we will employ tranfer function to determine the frequency repone and tranient

More information

Reasons for Choosing Encoding Techniques. Signal Encoding Techniques. Reasons for Choosing Encoding Techniques. Signal Encoding Criteria

Reasons for Choosing Encoding Techniques. Signal Encoding Techniques. Reasons for Choosing Encoding Techniques. Signal Encoding Criteria Reaon for Chooing Enoding Tehnique Signal Enoding Tehnique Chapter 6 Digital data, digital ignal Equipment le omplex and expenive than digital-to-analog modulation equipment Analog data, digital ignal

More information

EEEE 480 Analog Electronics

EEEE 480 Analog Electronics EEEE 480 Analog Electronic Lab #1: Diode Characteritic and Rectifier Circuit Overview The objective of thi lab are: (1) to extract diode model parameter by meaurement of the diode current v. voltage characteritic;

More information

UNIT III -- DATA AND PULSE COMMUNICATION PART-A 1. State the sampling theorem for band-limited signals of finite energy. If a finite energy signal g(t) contains no frequency higher than W Hz, it is completely

More information

A Feasibility Study on Frequency Domain ADC for Impulse-UWB Receivers

A Feasibility Study on Frequency Domain ADC for Impulse-UWB Receivers A Feaibility Study on Frequency Domain ADC for Impule-UWB Receiver Rajeh hirugnanam and Dong Sam Ha VV (Virginia ech VLSI for elecommunication Lab Department of Electrical and Computer Engineering Virginia

More information

Phase-Locked Loops (PLL)

Phase-Locked Loops (PLL) Phae-Locked Loop (PLL) Recommended Text: Gray, P.R. & Meyer. R.G., Analyi and Deign of Analog Integrated Circuit (3 rd Edition), Wiley (992) pp. 68-698 Introduction The phae-locked loop concept wa firt

More information

Adaptive Space/Frequency Processing for Distributed Aperture Radars

Adaptive Space/Frequency Processing for Distributed Aperture Radars Adaptive Space/Frequency Proceing for Ditributed Aperture Radar Raviraj Adve a, Richard Schneible b, Robert McMillan c a Univerity of Toronto Department of Electrical and Computer Engineering 10 King College

More information

Communications I (ELCN 306)

Communications I (ELCN 306) Communications I (ELCN 306) c Samy S. Soliman Electronics and Electrical Communications Engineering Department Cairo University, Egypt Email: samy.soliman@cu.edu.eg Website: http://scholar.cu.edu.eg/samysoliman

More information

Field Test Results of Space-Time Equalizers and Delayed Diversity Transmission in Central Tokyo Area

Field Test Results of Space-Time Equalizers and Delayed Diversity Transmission in Central Tokyo Area Field Tet Reult of Space-Time Equalizer and ed Diverity Tranmiion in Central Tokyo Area Takehi Toda Yuukichi Aihara Jun-ichi Takada ttoda@jp.fujitu.com yuukichi.aihara@yrp.mci.mei.co.jp takada@ide.titech.ac.jp,

More information

QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61)

QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61) QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61) Module 1 1. Explain Digital communication system with a neat block diagram. 2. What are the differences between digital and analog communication systems?

More information

Subcarrier exclusion techniques

Subcarrier exclusion techniques Subcarrier excluion technique for coded OFDM ytem Kai-Uwe Schmidt, Jochen Ertel, Michael Benedix, and Adolf Finger Communication Laboratory, Dreden Univerity of Technology, 62 Dreden, Germany email: {chmidtk,

More information

Adaptive Groundroll filtering

Adaptive Groundroll filtering Adaptive Groundroll filtering David Le Meur (CGGVerita), Nigel Benjamin (CGGVerita), Rupert Cole (Petroleum Development Oman) and Mohammed Al Harthy (Petroleum Development Oman) SUMMARY The attenuation

More information

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK. Subject Name: Digital Communication Techniques

KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK. Subject Name: Digital Communication Techniques KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING QUESTION BANK Subject Code: EC1351 Year/Sem: III/IV Subject Name: Digital Communication Techniques UNIT I PULSE MODULATION

More information

Fundamentals of Digital Communication

Fundamentals of Digital Communication Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel

More information

A Real-Time Wireless Channel Emulator For MIMO Systems

A Real-Time Wireless Channel Emulator For MIMO Systems A eal-time Wirele Channel Emulator For MIMO Sytem Hamid Elami, Ahmed M. Eltawil {helami,aeltawil}@uci.edu Abtract: The improvement in channel capacity hailed by MIMO ytem i directly related to intricate

More information

NAVAL POSTGRADUATE SCHOOL THESIS

NAVAL POSTGRADUATE SCHOOL THESIS NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS PERFORMANCE ANALYSIS OF THE EFFECT OF PULSED- NOISE INTERFERENCE ON WLAN SIGNALS TRANSMITTED OVER A NAKAGAMI FADING CHANNEL by Andrea Toumani March

More information

EEE 309 Communication Theory

EEE 309 Communication Theory EEE 309 Communication Theory Semester: January 2016 Dr. Md. Farhad Hossain Associate Professor Department of EEE, BUET Email: mfarhadhossain@eee.buet.ac.bd Office: ECE 331, ECE Building Part 05 Pulse Code

More information

A COMPARISON OF METHODS FOR EVALUATING THE TEST ZONE PERFORMANCE OF ANECHOIC CHAMBERS DESIGNED FOR TESTING WIRELESS DEVICES

A COMPARISON OF METHODS FOR EVALUATING THE TEST ZONE PERFORMANCE OF ANECHOIC CHAMBERS DESIGNED FOR TESTING WIRELESS DEVICES A COMPARISON OF METHODS FOR EVALUATING THE TEST ZONE PERFORMANCE OF ANECHOIC CHAMBERS DESIGNED FOR TESTING WIRELESS DEVICES Jame D. Huff John C. Mantovani Carl W. Sirle The Howland Company, Inc. 4540 Atwater

More information

ECE 6640 Digital Communications

ECE 6640 Digital Communications C 664 Digital Communication Dr. Bradley J. Bazuin Aitant rofeor Department of lectrical and Computer ngineering College of ngineering and Applied Science Chapter 9 9. odulation and Coding Trade-Off. 1.

More information

Non-Linear UWB Receivers With MLSE Post-Detection

Non-Linear UWB Receivers With MLSE Post-Detection on-linear UWB Receiver With MLSE Pot-Detection Florian roech, homa Zaowki, and Armin Wittneben Communication echnology Laboratory, EH Zurich, 8092 Zurich, Switzerland Email: {troechf,zaowki,wittneben}@nari.ee.ethz.ch

More information

NAVAL POSTGRADUATE SCHOOL THESIS

NAVAL POSTGRADUATE SCHOOL THESIS NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS SIMULATION PERFORMANCE OF MULTIPLE-INPUT MULTIPLE-OUTPUT SYSTEMS EMPLOYING SINGLE- CARRIER MODULATION AND ORTHOGONAL FRE- QUENCY DIVISION MULTIPLEXING

More information

Experiment 3 - Single-phase inverter 1

Experiment 3 - Single-phase inverter 1 ELEC6.0 Objective he Univerity of New South Wale School of Electrical Engineering & elecommunication ELEC6 Experiment : Single-phae C-C Inverter hi experiment introduce you to a ingle-phae bridge inverter

More information

UNIT I Source Coding Systems

UNIT I Source Coding Systems SIDDHARTH GROUP OF INSTITUTIONS: PUTTUR Siddharth Nagar, Narayanavanam Road 517583 QUESTION BANK (DESCRIPTIVE) Subject with Code: DC (16EC421) Year & Sem: III-B. Tech & II-Sem Course & Branch: B. Tech

More information

Lecture 11. Noise from optical amplifiers. Optical SNR (OSNR), noise figure, (electrical) SNR Amplifier and receiver noise

Lecture 11. Noise from optical amplifiers. Optical SNR (OSNR), noise figure, (electrical) SNR Amplifier and receiver noise Lecture 11 Noie from optical amplifier EDFA noie Raman noie Optical SNR (OSNR), noie figure, (electrical) SNR Amplifier and receiver noie ASE and hot/thermal noie Preamplification for SNR improvement Fiber

More information

Self-Programmable PID Compensator for Digitally Controlled SMPS

Self-Programmable PID Compensator for Digitally Controlled SMPS 6 IEEE COMPEL Workhop, Renelaer Polytechnic Intitute, Troy, NY, USA, July 16-19, 6 Self-Programmable PID Compenator for Digitally Controlled SMPS Zhenyu Zhao and Alekandar Prodi Univerity of Toronto Toronto,

More information

SINGLE-PHASE ACTIVE FILTER FOR HIGH ORDER HARMONICS COMPENSATION

SINGLE-PHASE ACTIVE FILTER FOR HIGH ORDER HARMONICS COMPENSATION .jee.ro SINGLE-PHASE ACTIVE FILTER FOR HIGH ORDER HARMONICS COMPENSATION Kyo-Beum Lee Diviion of Electrical and Computer Engineering, Ajou Univerity San5, Woncheon-dong, Yeontong-gu, Suon 44-749, Korea

More information

The Central Limit Theorem

The Central Limit Theorem Objective Ue the central limit theorem to olve problem involving ample mean for large ample. The Central Limit Theorem In addition to knowing how individual data value vary about the mean for a population,

More information

Comparative Study of PLL, DDS and DDS-based PLL Synthesis Techniques for Communication System

Comparative Study of PLL, DDS and DDS-based PLL Synthesis Techniques for Communication System International Journal of Electronic Engineering, 2(1), 2010, pp. 35-40 Comparative Study of PLL, DDS and DDS-baed PLL Synthei Technique for Communication Sytem Govind Singh Patel 1 & Sanjay Sharma 2 1

More information

Chapter 14 Waveforms PAGE 1

Chapter 14 Waveforms PAGE 1 Chapter 4 Waveform Chapter 4 Waveform... 4. Introduction... 4. Waveform... 4.3 Tranient... 3 3.3. Firt Order Tranient... 3 4.3. RL Circuit... 5 4.3.3 RC Circuit... 6 4.4 LaPlace... 7 4.5 LaPlace Operational

More information

CHAPTER 2 WOUND ROTOR INDUCTION MOTOR WITH PID CONTROLLER

CHAPTER 2 WOUND ROTOR INDUCTION MOTOR WITH PID CONTROLLER 16 CHAPTER 2 WOUND ROTOR INDUCTION MOTOR WITH PID CONTROLLER 2.1 INTRODUCTION Indutrial application have created a greater demand for the accurate dynamic control of motor. The control of DC machine are

More information

Time-Domain Coupling to a Device on Printed Circuit Board Inside a Cavity. Chatrpol Lertsirimit, David R. Jackson and Donald R.

Time-Domain Coupling to a Device on Printed Circuit Board Inside a Cavity. Chatrpol Lertsirimit, David R. Jackson and Donald R. Time-Domain Coupling to a Device on Printed Circuit Board Inide a Cavity Chatrpol Lertirimit, David R. Jackon and Donald R. Wilton Applied Electromagnetic Laboratory Department of Electrical Engineering,

More information

Pre- and Post-DFT Combining Space Diversity Receiver for Wideband Multi-Carrier Systems

Pre- and Post-DFT Combining Space Diversity Receiver for Wideband Multi-Carrier Systems Pre- and Pot- Combining Space Receiver for Wideband Multi-Carrier Sytem Muhammad Imadur Rahman, Suvra Sekhar Da, Frank HP Fitzek, Ramjee Praad Center for TeleInFratruktur (CTiF), Aalborg Univerity, Denmark

More information

Massachusetts Institute of Technology Haystack Observatory WESTFORD, MASSACHUSETTS DATE 07/15/2009

Massachusetts Institute of Technology Haystack Observatory WESTFORD, MASSACHUSETTS DATE 07/15/2009 BBD Memo #033 Maachuett Intitute of Technolog Hatack Obervator WESTFORD, MASSACHUSETTS 0886 DATE 07/5/2009 To: Broadband Development Group From: C. J. Beaudoin Subject: Holographic Proceing and Conideration

More information

KINGS DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING DIGITAL COMMUNICATION TECHNIQUES YEAR/SEM: III / VI BRANCH : ECE PULSE MODULATION

KINGS DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING DIGITAL COMMUNICATION TECHNIQUES YEAR/SEM: III / VI BRANCH : ECE PULSE MODULATION KINGS COLLEGE OF ENGINEERING DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING SUB.NAME : EC1351 DIGITAL COMMUNICATION TECHNIQUES BRANCH : ECE YEAR/SEM: III / VI UNIT I PULSE MODULATION PART A (2

More information

A Flexible OFDM System Simulation Model. with BER Performance Test

A Flexible OFDM System Simulation Model. with BER Performance Test Contemporary Engineering Science, Vol. 5, 2012, no. 8, 365-374 A Flexible OFDM Sytem Simulation Model with BER Performance Tet Aladdin Amro Al-Huein Bin Talal Univerity, Jordan Department of Communication

More information

Formatting and Baseband Modulation

Formatting and Baseband Modulation 4964ch2.qxd_tb/lb 2/2/ 7:48 AM Page 55 CHAPTER 2 Formatting and Baseband Modulation Information source From other sources Message symbols Channel symbols Format Source encode Encrypt Channel encode Pulse

More information

Position Control of a Large Antenna System

Position Control of a Large Antenna System Poition Control of a Large Antenna Sytem uldip S. Rattan Department of Electrical Engineering Wright State Univerity Dayton, OH 45435 krattan@c.wright.edu ABSTRACT Thi report decribe the deign of a poition

More information

Identification of Image Noise Sources in Digital Scanner Evaluation

Identification of Image Noise Sources in Digital Scanner Evaluation Identification of Image Noie Source in Digital Scanner Evaluation Peter D. Burn and Don William Eatman Kodak Company, ocheter, NY USA 4650-95 ABSTACT For digital image acquiition ytem, analyi of image

More information

UNIT TEST I Digital Communication

UNIT TEST I Digital Communication Time: 1 Hour Class: T.E. I & II Max. Marks: 30 Q.1) (a) A compact disc (CD) records audio signals digitally by using PCM. Assume the audio signal B.W. to be 15 khz. (I) Find Nyquist rate. (II) If the Nyquist

More information

2.1 Circuit transform CHAPTER FDSM 2.0

2.1 Circuit transform CHAPTER FDSM 2.0 2CHAPTER 2. Circuit tranform CHAPTER The firt-order FDSM 2. Thi chapter tart by tranforming the conventional DSM into a non-feedback equivalent whoe new propertie are dicued. The firt-order FDSM principle

More information

(12) Patent Application Publication (10) Pub. No.: US 2015/ A1

(12) Patent Application Publication (10) Pub. No.: US 2015/ A1 (19) United tate U 20150244475A1 (12) Patent Application Publication (10) Pub. No.: U 2015/0244475A1 MOTOZUKA et al. (43) Pub. Date: Aug. 27, 2015 (54) RADIO COMMUNICATION APPARATU AND INTERFERENCE DETECTION

More information

EXPERIMENT WISE VIVA QUESTIONS

EXPERIMENT WISE VIVA QUESTIONS EXPERIMENT WISE VIVA QUESTIONS Pulse Code Modulation: 1. Draw the block diagram of basic digital communication system. How it is different from analog communication system. 2. What are the advantages of

More information

Fundamentals of Data and Signals

Fundamentals of Data and Signals Fundamentals of Data and Signals Chapter 2 Learning Objectives After reading this chapter, you should be able to: Distinguish between data and signals and cite the advantages of digital data and signals

More information

Mechatronics Laboratory Assignment 5 Motor Control and Straight-Line Robot Driving

Mechatronics Laboratory Assignment 5 Motor Control and Straight-Line Robot Driving Mechatronic Laboratory Aignment 5 Motor Control and Straight-Line Robot Driving Recommended Due Date: By your lab time the week of March 5 th Poible Point: If checked off before your lab time the week

More information

Topology in Circuit Analysis

Topology in Circuit Analysis Topology in Circuit Analyi Many dierent circuit actually operate the ame Can reduce a circuit to a "graph" Graph only how the branche, not the device Two Circuit are aid to have the ame topology When the

More information

Speech Conversion for Telephone Speech Recognition

Speech Conversion for Telephone Speech Recognition 448 Vol. 7 No. 2 JOURNAL OF SYSTEM SIMULATION Feb. 2005 Speech Converion for Telephone Speech Recognition ZUO Guo-yu, 2, LIU Wen-ju, RUAN Xiao-gang 2 ( National Laboratory of Pattern Recognition, Intitute

More information

V is sensitive only to the difference between the input currents,

V is sensitive only to the difference between the input currents, PHYSICS 56 Experiment : IC OP-Amp and Negative Feedback In thi experiment you will meaure the propertie of an IC op-amp, compare the open-loop and cloed-loop gain, oberve deterioration of performance when

More information

Chapter 2: Fundamentals of Data and Signals

Chapter 2: Fundamentals of Data and Signals Chapter 2: Fundamentals of Data and Signals TRUE/FALSE 1. The terms data and signal mean the same thing. F PTS: 1 REF: 30 2. By convention, the minimum and maximum values of analog data and signals are

More information

FM Range Calculation

FM Range Calculation FM Range Calculation Thi heet i to etimate of the range that can be epected from an FM or ASK modulated ytem. Chri Haji-Michael www.unhadow.co.uk It ue a modified-verion of the Fri tranmiion equation.

More information

F.F.R F.F.R. c f (t)

F.F.R F.F.R. c f (t) r(t) BF i(t) c(t) Quadrature mplitude Modulation - QM - beide it employment a uch to tranmit two independent data flow, the QM i ued a a method of modulation-demodulation of other amplitude, frequency

More information

EE390 Final Exam Fall Term 2002 Friday, December 13, 2002

EE390 Final Exam Fall Term 2002 Friday, December 13, 2002 Name Page 1 of 11 EE390 Final Exam Fall Term 2002 Friday, December 13, 2002 Notes 1. This is a 2 hour exam, starting at 9:00 am and ending at 11:00 am. The exam is worth a total of 50 marks, broken down

More information

2 nd Exam Announcements. EE359 Lecture 20 Outline. Synchronization. Review of Last Lecture. Main Points. RAKE Receiver

2 nd Exam Announcements. EE359 Lecture 20 Outline. Synchronization. Review of Last Lecture. Main Points. RAKE Receiver EE359 Lecture 20 Outline Announcement Project due Friday at 5 pm (extend to Sunday 5pm). HW due Friday at 5. τβπ eval at end of cla (0 bonu poit), then pizza Mut be turned in no later than at exam. 2 nd

More information

Design of hybrid continuous-time discrete-time delta-sigma modulators. Kwan, HK; Lui, SH; Lei, CU; Liu, Y; Wong, N; Ho, KL

Design of hybrid continuous-time discrete-time delta-sigma modulators. Kwan, HK; Lui, SH; Lei, CU; Liu, Y; Wong, N; Ho, KL Title Deign of hybrid continuou-time dicrete-time delta-igma modulator Author() Kwan, HK; Lui, SH; Lei, CU; Liu, Y; Wong, N; Ho, KL Citation Proceeding - Ieee International Sympoium On Circuit And Sytem,

More information

R-R Interval Processing Using BIOPAC s HRV Algorithm Implementation

R-R Interval Processing Using BIOPAC s HRV Algorithm Implementation APPLICATION NOTE 42 Aero Camino, Goleta, CA 93117 Tel (805) 685-0066 Fax (805) 685-0067 info@biopac.com www.biopac.com Updated 01.07.2016 Application Note 246 R-R Interval Proceing Uing BIOPAC HRV Algorithm

More information

Resonant amplifier L A B O R A T O R Y O F L I N E A R C I R C U I T S. Marek Wójcikowski English version prepared by Wiesław Kordalski

Resonant amplifier L A B O R A T O R Y O F L I N E A R C I R C U I T S. Marek Wójcikowski English version prepared by Wiesław Kordalski A B O R A T O R Y O F I N E A R I R U I T S Reonant amplifier 3 Marek Wójcikowki Englih verion prepared by Wieław Kordalki. Introduction Thi lab allow you to explore the baic characteritic of the reonant

More information

Optimized BER Performance of Asymmetric Turbo Codes over AWGN Channel

Optimized BER Performance of Asymmetric Turbo Codes over AWGN Channel International Journal of Computer Application (0975 8887) Optimized Performance of Aymmetric Turbo Code over AWGN Channel M.Srinivaa Rao Pvpit, JNTU Kainada Andhra Pradeh, India. G.Vijaya Kumar Pvpit,

More information

Fundamentals of Data Converters. DAVID KRESS Director of Technical Marketing

Fundamentals of Data Converters. DAVID KRESS Director of Technical Marketing Fundamentals of Data Converters DAVID KRESS Director of Technical Marketing 9/14/2016 Analog to Electronic Signal Processing Sensor (INPUT) Amp Converter Digital Processor Actuator (OUTPUT) Amp Converter

More information

Department of Electronics and Communication Engineering 1

Department of Electronics and Communication Engineering 1 UNIT I SAMPLING AND QUANTIZATION Pulse Modulation 1. Explain in detail the generation of PWM and PPM signals (16) (M/J 2011) 2. Explain in detail the concept of PWM and PAM (16) (N/D 2012) 3. What is the

More information

In TCM it is easier to deal with {-1,+1} than {0,1} initially.

In TCM it is easier to deal with {-1,+1} than {0,1} initially. Repreentation or TCM Ungeroec repreentation: (conidered earlier A inary convolutional encoder A modulator part. Analytical repreentation: The eect o the trelli encoder i to tranorm a equence o input ymol

More information

Active vibration isolation for a 6 degree of freedom scale model of a high precision machine

Active vibration isolation for a 6 degree of freedom scale model of a high precision machine Active vibration iolation for a 6 degree of freedom cale model of a high preciion machine W.B.A. Boomma Supervior Report nr : Prof. Dr. Ir. M. Steinbuch : DCT 8. Eindhoven Univerity of Technology Department

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Thi document i downloaded from DRNTU, Univerity Library, Singapore. Title A circuit baed behavioral modeling of ContinuouTime Sigma Delta modulator Author() Leow, Yoon Hwee; Zhang, Fan; Teh, Li Lian; Siek,

More information

3. Sampled measurements

3. Sampled measurements 3. Sampled meaurement By the end of thi ection you will be able to: Decribe the function of a finite aperture ampler Decribe the operation of A/D and D/A converter. Dicu the bandwidth and quantiation noie

More information

CHAPTER 4. PULSE MODULATION Part 2

CHAPTER 4. PULSE MODULATION Part 2 CHAPTER 4 PULSE MODULATION Part 2 Pulse Modulation Analog pulse modulation: Sampling, i.e., information is transmitted only at discrete time instants. e.g. PAM, PPM and PDM Digital pulse modulation: Sampling

More information

Fast & Accurate Algorithm for Jitter Test with a Single Frequency Test Signal

Fast & Accurate Algorithm for Jitter Test with a Single Frequency Test Signal Fat & Accurate Algorithm for Jitter Tet ith a Single Frequency Tet Signal Minhun Wu 1,2, Degang Chen 2, Jingbo Duan 2 1 Xi an Jiaotong Univerity, Xi an,. R. China 2 Ioa State Univerity, Ame, IA, USA Abtract

More information

END-OF-YEAR EXAMINATIONS ELEC321 Communication Systems (D2) Tuesday, 22 November 2005, 9:20 a.m. Three hours plus 10 minutes reading time.

END-OF-YEAR EXAMINATIONS ELEC321 Communication Systems (D2) Tuesday, 22 November 2005, 9:20 a.m. Three hours plus 10 minutes reading time. END-OF-YEAR EXAMINATIONS 2005 Unit: Day and Time: Time Allowed: ELEC321 Communication Systems (D2) Tuesday, 22 November 2005, 9:20 a.m. Three hours plus 10 minutes reading time. Total Number of Questions:

More information

EE247 Lecture 10. EECS 247 Lecture 10 Switched-Capacitor Filters 2010 H. K. Page 1. DDI Switched-Capacitor Integrator 1 2 C I. Vin. Cs 1.

EE247 Lecture 10. EECS 247 Lecture 10 Switched-Capacitor Filters 2010 H. K. Page 1. DDI Switched-Capacitor Integrator 1 2 C I. Vin. Cs 1. EE247 Lecture 0 Switched-capacitor filter (continued) DDI integrator LDI integrator Effect of paraitic capacitance Bottom-plate integrator topology Switched-capacitor reonator Bandpa S.. filter Lowpa S..

More information

A Multi-Machine Power System Stabilizer Using Fuzzy Logic Controller

A Multi-Machine Power System Stabilizer Using Fuzzy Logic Controller A Multi-Machine Power Sytem Stabilizer Uing Fuzzy Logic Controller Dr. A. Taifour Ali, 2 Dr. Eia Bahier M Tayeb, 3 M. Kawthar A. Adam,2 College of Engineering; Sudan Univerity of Science & Technology;

More information

Constant Switching Frequency Self-Oscillating Controlled Class-D Amplifiers

Constant Switching Frequency Self-Oscillating Controlled Class-D Amplifiers http://dx.doi.org/.5755/j.eee..6.773 ELEKTRONIKA IR ELEKTROTECHNIKA, ISSN 39 5, OL., NO. 6, 4 Contant Switching Frequency Self-Ocillating Controlled Cla-D Amplifier K. Nguyen-Duy, A. Knott, M. A. E. Anderen

More information

2. By convention, the minimum and maximum values of analog data and signals are presented as voltages.

2. By convention, the minimum and maximum values of analog data and signals are presented as voltages. Chapter 2: Fundamentals of Data and Signals Data Communications and Computer Networks A Business Users Approach 8th Edition White TEST BANK Full clear download (no formatting errors) at: https://testbankreal.com/download/data-communications-computer-networksbusiness-users-approach-8th-edition-white-test-bank/

More information