DSP First, 2/e. FIR Filters. This Lecture: Lecture 11 FIR Filtering Intro INTRODUCE FILTERING IDEA. Chapter 5, Sects. 5-1, 5-2, 5-3 & 5-4 (partial)

Size: px
Start display at page:

Download "DSP First, 2/e. FIR Filters. This Lecture: Lecture 11 FIR Filtering Intro INTRODUCE FILTERING IDEA. Chapter 5, Sects. 5-1, 5-2, 5-3 & 5-4 (partial)"

Transcription

1 DSP First, /e Lecture FIR Filterig Itro READING ASSIGNENTS Tis Lecture: Capter 5, Sects. 5-, 5-, 5- & 5- (partial) Oter Readig: Net Lecture: C. 5, Sects 5-, 5-6, 5-7 & 5-8 CONVOLUTION Aug 6-6, JH cclella & RW Scafer LECTURE OBJECTIVES DIGITAL FILTERING INTRODUCE FILTERING IDEA Weigted Average Ruig Average FINITE IPULSE RESPONSE FILTERS FIR Filters Sow ow to compute te output t from te iput sigal, (t) A-to-D COPUTER D-to-A Caracterized SIGNALS (Fourier series) Coverted to DIGITAL (samplig) Toda: How to PROCESS tem (DSP)? CONCENTRATE o te COPUTER ALGORITHS, SOFTWARE (ATLAB) ad HARDWARE (DSP cips, VLSI) (t) Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer 5

2 Te TS, 98 Roclad Digital Filter, 97 First PC plug-i board from Atlata Sigal Processors Ic. Cost was about te same as te price of a small ouse. Aug 6-6, JH cclella & RW Scafer 6 Aug 6-6, JH cclella & RW Scafer 7 Digital Cell Poe (ca. ) DISCRETE-TIE TIE SYSTE COPUTER OPERATE o to get WANT a GENERAL CLASS of SYSTES ANALYZE te SYSTE TOOLS: TIE-DOAIN & FREQUENCY-DOAIN SYNTHESIZE te SYSTE Now, digital cameras ad video streamig rel o DSP algoritms Aug 6-6, JH cclella & RW Scafer 8 Aug 6-6, JH cclella & RW Scafer 9

3 D-T SYSTE EXAPLES DISCRETE-TIE TIE SIGNAL SYSTE is a LIST of NUBERS INDEXED b EXAPLES: POINTWISE OPERATORS SQUARING: = () RUNNING AVERAGE RULE: te output at time is te average of tree cosecutive iput values STE PLOT Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer -PT AVERAGE SYSTE INPUT SIGNAL ADD CONSECUTIVE NUBERS Do tis for eac ae a TABLE ( ) ( ) OUTPUT SIGNAL = = Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer

4 PAST, PRESENT, FUTURE ANOTHER -pt AVERAGER SLIDE a WINDOW across is PRESENT TIE Uses PAST VALUES of IPORTANT IF represets REAL TIE WHEN & ARE STREAS ( ) Figure 5- Filter calculatio at te preset time (l = ) uses values witi a slidig widow. Gra sadig idicates te past (l < ); orage sadig, te future (l > ). Here, te slidig widow ecompasses values from bot te future ad te past. Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer 5 CAUSAL -pt AVERAGER ( ) GENERAL CAUSAL FIR FILTER FILTER COEFFICIENTS {b } DEFINE THE FILTER For eample, b {,,,} b b Aug 6-6, JH cclella & RW Scafer 6 Aug 6-6, JH cclella & RW Scafer 7

5 GENERAL CAUSAL FIR FILTER FILTER COEFFICIENTS {b } b FILTER ORDER is FILTER LENGTH is L = + NUBER of FILTER COEFFS is L Aug 6-6, JH cclella & RW Scafer 8 GENERAL CAUSAL FIR FILTER SLIDE a WINDOW across b b b b - Aug 6-6, JH cclella & RW Scafer 9 FILTERED STOCK SIGNAL SPECIAL INPUT SIGNALS INPUT OUTPUT = SINUSOID FREQUENCY RESPONSE (LATER) as ol oe NON-ZERO VALUE UNIT-IPULSE 5-pt Averager Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer

6 UNIT IPULSE SIGNAL Sequece Represetatio Eample: is NON-ZERO We its argumet is equal to ZERO 6 6 Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer UNIT IPULSE RESPONSE FIR filter descriptio usuall give i terms of coefficiets b b Ca we describe te filter usig a SIGNAL istead? Wat tappes ifiput tis a uit itimpulse? Aug 6-6, JH cclella & RW Scafer Eample: -pt AVERAGER CAUSAL SYSTE: USE PAST VALUES ( ) INPUT = UNIT IPULSE SIGNAL = OUTPUT is called IPULSE RESPONSE Deoted = we = Aug 6-6, JH cclella & RW Scafer 5

7 Uit Impulse Respose U p s sp s 5 Aug 6-6, JH cclella & RW Scafer 6 SU of Sifted Impulses SU of Sifted Impulses Aug 6-6, JH cclella & RW Scafer 7 FIR IPULSE RESPONSE FIR IPULSE RESPONSE b b Aug 6-6, JH cclella & RW Scafer 9 Was to Represet te FIR filter FIR filter U SHIFTED IPULSES t it Use SHIFTED IPULSES to write : Plot te values } { b : List te values Aug 6-6, JH cclella & RW Scafer },,,, { b True for a sigal,

8 Aug 6-6, JH cclella & RW Scafer LONGER OUTPUT FILTERING EXAPLE 7-poit AVERAGER 7 Removes cosie B maig its amplitude (A) smaller 6 7 -pt AVG EXAPLE Iput : (.) cos( /8 / ) for -poit AVERAGER Cages A sligtl USE PAST VALUES Aug 6-6, JH cclella & RW Scafer Aug 6-6, JH cclella & RW Scafer 7-pt FIR EXAPLE (AVG) Iput : (.) cos( /8 / ) for CAUSAL: Use Previous

DSP First, 2/e. This Lecture: Lecture 13 Frequency Response of FIR Filters SINUSOIDAL INPUT SIGNAL. Frequency Domain (sum of sinusoids)

DSP First, 2/e. This Lecture: Lecture 13 Frequency Response of FIR Filters SINUSOIDAL INPUT SIGNAL. Frequency Domain (sum of sinusoids) DSP First, 2/ Lctur 3 Frquc Rspos of FIR Filtrs READING ASSIGNENTS Tis Lctur: Captr 6, Sctios 6- to 6-5 Otr Radig: Rcitatio FREQUENCY RESPONSE EXAPLES Nt Lctur: Cap. 6, Scts. 6-6, 6-7 & 6-8 Aug 26 23-26,

More information

READING ASSIGNMENTS LECTURE OBJECTIVES OVERVIEW. ELEG-212 Signal Processing and Communications. This Lecture:

READING ASSIGNMENTS LECTURE OBJECTIVES OVERVIEW. ELEG-212 Signal Processing and Communications. This Lecture: ELEG-212 Signal Processing and Communications Lecture 11 Linearity & Time-Invariance Convolution READING ASSIGNENTS This Lecture: Chapter 5, Sections 5-5 and 5-6 Section 5-4 will be covered, but not in

More information

READING ASSIGNMENTS LECTURE OBJECTIVES. DOMAINS: Time & Frequency. ELEG-212 Signal Processing and Communications. This Lecture:

READING ASSIGNMENTS LECTURE OBJECTIVES. DOMAINS: Time & Frequency. ELEG-212 Signal Processing and Communications. This Lecture: ELEG- Sigal Procssig ad Commuicatios Lctur Frqucy Rspos of FIR Filtrs READING ASSIGNENTS This Lctur: Chaptr 6, Sctios 6-, 6-, 6-3, 6-4, & 6-5 Othr Radig: Rcitatio: Chaptr 6 FREQUENCY RESPONSE EXAPLES Nxt

More information

EECE 301 Signals & Systems Prof. Mark Fowler

EECE 301 Signals & Systems Prof. Mark Fowler EECE 3 Sigals & Systems Prof. Mark Fowler Note Set #6 D-T Systems: DTFT Aalysis of DT Systems Readig Assigmet: Sectios 5.5 & 5.6 of Kame ad Heck / Course Flow Diagram The arrows here show coceptual flow

More information

LINEAR-PHASE FIR FILTERS: THE WINDOWING METHOD

LINEAR-PHASE FIR FILTERS: THE WINDOWING METHOD LINEAR-PHASE FIR FILTERS: THE WINDOWING ETHOD Prof. Siripog Potisuk FIR Filter Characteristics Completely specified by iput-output relatio: y[ ] b k0 x[ k] b k = filter coefficiets ad +1 = filter legth

More information

Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Fall Semester, Introduction to EECS 2.

Massachusetts Institute of Technology Dept. of Electrical Engineering and Computer Science Fall Semester, Introduction to EECS 2. Massachusetts Istitute of Techology Dept. of Electrical Egieerig ad Computer Sciece Fall Semester, 006 6.08 Itroductio to EECS Prelab Exercises Pre-Lab#3 Modulatio, demodulatio, ad filterig are itegral

More information

信號與系統 Signals and Systems

信號與系統 Signals and Systems Sprig 2 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb Ju Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,

More information

信號與系統 Signals and Systems

信號與系統 Signals and Systems Sprig 24 信號與系統 Sigals ad Systems Chapter SS- Sigals ad Systems Feg-Li Lia NTU-EE Feb4 Ju4 Figures ad images used i these lecture otes are adopted from Sigals & Systems by Ala V. Oppeheim ad Ala S. Willsky,

More information

The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam

The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam The University of Texas at Austin Dept. of Electrical and Computer Engineering Final Exam Date: December 18, 2017 Course: EE 313 Evans Name: Last, First The exam is scheduled to last three hours. Open

More information

PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB

PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB 1 of 7 PRACTICAL FILTER DESIGN & IMPLEMENTATION LAB BEFORE YOU BEGIN PREREQUISITE LABS Itroductio to Oscilloscope Itroductio to Arbitrary/Fuctio Geerator EXPECTED KNOWLEDGE Uderstadig of LTI systems. Laplace

More information

The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1

The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 Date: October 18, 2013 Course: EE 445S Evans Name: Last, First The exam is scheduled to last 50 minutes. Open books

More information

Problem Point Value Your score Topic 1 28 Filter Analysis 2 24 Filter Implementation 3 24 Filter Design 4 24 Potpourri Total 100

Problem Point Value Your score Topic 1 28 Filter Analysis 2 24 Filter Implementation 3 24 Filter Design 4 24 Potpourri Total 100 The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 Date: March 8, 2013 Course: EE 445S Evans Name: Last, First The exam is scheduled to last 50 minutes. Open books

More information

Lecture 14. Design of audio WM Model of digital audio CO ( WAV-format): - dependent samples with frequency 44,1кHz, - amplitude of samples is

Lecture 14. Design of audio WM Model of digital audio CO ( WAV-format): - dependent samples with frequency 44,1кHz, - amplitude of samples is Lecture 14. Desig of audio WM Model of digital audio CO WAV-format: - depedet samples wit frequecy 44,1кHz, - amplitude of samples is quatized o 2 16 =65536 levels 16 bits Remark 1. Tere exists a lossy

More information

ECE 6560 Multirate Signal Processing Decimation and Interpolation

ECE 6560 Multirate Signal Processing Decimation and Interpolation ECE 656 ultiate Signal Pocessing Deciation and Intepolation D. Badle J. Bazuin Westen icigan Univesit College of Engineeing and Applied Sciences Depatent of Electical and Copute Engineeing 93 W. icigan

More information

Teaching Plan - Dr Kavita Thakur

Teaching Plan - Dr Kavita Thakur Teaching Plan - Dr Kavita Thakur Semester Date Day Paper Paper/Unit Topic to be covered Topic Covered : 25/02/2016 Waveform Synthesis Standard signals, Unit Step Function, Ramp, Impulse Function, Voltage/Current

More information

ECE 6560 Multirate Signal Processing Analysis & Synthesis Notes

ECE 6560 Multirate Signal Processing Analysis & Synthesis Notes Multirate Signal Processing Analysis & Synthesis Notes Dr. Bradley J. Bazuin Western Michigan University College of Engineering and Applied Sciences Departent of Electrical and Coputer Engineering 1903

More information

Encode Decode Sample Quantize [ ] [ ]

Encode Decode Sample Quantize [ ] [ ] Referece Audio Sigal Processig I Shyh-Kag Jeg Departmet of Electrical Egieerig/ Graduate Istitute of Commuicatio Egieerig M. Bosi ad R. E. Goldberg, Itroductio to Digital Audio Codig ad Stadards, Kluwer

More information

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 5 Fall, 2018

OPTI-502 Optical Design and Instrumentation I John E. Greivenkamp Homework Set 5 Fall, 2018 Homework Set 5 all, 2018 Assigned: 9/26/18 Lecture 11 Due: 10/3/18 Lecture 13 Midterm Exam: Wednesday October 24 (Lecture 19) 5-1) Te following combination of tin lenses in air is in a telepoto configuration:

More information

Sampling. Introduction to Digital Data Acquisition: Physical world is analog CSE/EE Digital systems need to

Sampling. Introduction to Digital Data Acquisition: Physical world is analog CSE/EE Digital systems need to Itroductio to Digital Data Acuisitio: Samplig Physical world is aalog Digital systems eed to Measure aalog uatities Switch iputs, speech waveforms, etc Cotrol aalog systems Computer moitors, automotive

More information

PRACTICAL ANALOG DESIGN TECHNIQUES

PRACTICAL ANALOG DESIGN TECHNIQUES PRACTICAL ANALOG DESIGN TECHNIQUES SINGLE-SUPPLY AMPLIFIERS HIGH SPEED OP AMPS HIGH RESOLUTION SIGNAL CONDITIONING ADCs HIGH SPEED SAMPLING ADCs UNDERSAMPLING APPLICATIONS MULTICHANNEL APPLICATIONS OVERVOLTAGE

More information

CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER

CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER CHAPTER 6 IMPLEMENTATION OF DIGITAL FIR FILTER 6.1 INTRODUCTION The digital FIR filters are commo compoets i may digital sigal processig (DSP) systems. There are various applicatios like high speed/low

More information

Spectral analysis of biosignals. Biosignal processing I, S Autumn 2017

Spectral analysis of biosignals. Biosignal processing I, S Autumn 2017 Spectral analysis o biosignals Biosignal processing I, 573S Autun 07 Introduction Oscillations o biosignals oten have intuitive physiological interpretation breathing rate, heart rate, alpha rhyth, Frequencies

More information

DSP First, 2/e. LECTURE #1 Sinusoids. Aug , JH McClellan & RW Schafer

DSP First, 2/e. LECTURE #1 Sinusoids. Aug , JH McClellan & RW Schafer DSP First, 2/e LECTURE #1 Sinusoids Aug 2016 2003-2016, JH McClellan & RW Schafer 1 License Info for DSPFirst Slides This work released under a Creative Commons License with the following terms: Attribution

More information

5.3 Sum and Difference Identities

5.3 Sum and Difference Identities SECTION 5.3 Sum and Difference Identities 21 5.3 Sum and Difference Identities Wat you ll learn about Cosine of a Difference Cosine of a Sum Sine of a Difference or Sum Tangent of a Difference or Sum Verifying

More information

Objectives. Some Basic Terms. Analog and Digital Signals. Analog-to-digital conversion. Parameters of ADC process: Related terms

Objectives. Some Basic Terms. Analog and Digital Signals. Analog-to-digital conversion. Parameters of ADC process: Related terms Objectives. A brief review of some basic, related terms 2. Aalog to digital coversio 3. Amplitude resolutio 4. Temporal resolutio 5. Measuremet error Some Basic Terms Error differece betwee a computed

More information

Measurement of Equivalent Input Distortion AN 20

Measurement of Equivalent Input Distortion AN 20 Measuremet of Equivalet Iput Distortio AN 2 Applicatio Note to the R&D SYSTEM Traditioal measuremets of harmoic distortio performed o loudspeakers reveal ot oly the symptoms of the oliearities but also

More information

X-Bar and S-Squared Charts

X-Bar and S-Squared Charts STATGRAPHICS Rev. 7/4/009 X-Bar ad S-Squared Charts Summary The X-Bar ad S-Squared Charts procedure creates cotrol charts for a sigle umeric variable where the data have bee collected i subgroups. It creates

More information

Lab 2: Common Source Amplifier.

Lab 2: Common Source Amplifier. epartet of Electrical ad Coputer Egieerig Fall 1 Lab : Coo Source plifier. 1. OBJECTIVES Study ad characterize Coo Source aplifier: Bias CS ap usig MOSFET curret irror; Measure gai of CS ap with resistive

More information

Aparna Tiwari, Vandana Thakre, Karuna Markam Deptt. Of ECE,M.I.T.S. Gwalior, M.P, India

Aparna Tiwari, Vandana Thakre, Karuna Markam Deptt. Of ECE,M.I.T.S. Gwalior, M.P, India International Journal of Computer & Communication Engineering Research (IJCCER) Volume 2 - Issue 3 May 2014 Design Technique of Lowpass FIR filter using Various Function Aparna Tiwari, Vandana Thakre,

More information

DIGITAL SIGNAL PROCESSING LABORATORY

DIGITAL SIGNAL PROCESSING LABORATORY DIGITAL SIGNAL PROCESSING LABORATORY SECOND EDITION В. Preetham Kumar CRC Press Taylor & Francis Group Boca Raton London New York CRC Press is an imprint of the Taylor & Francis Croup, an informa business

More information

AN EFFICIENT MAC DESIGN IN DIGITAL FILTERS

AN EFFICIENT MAC DESIGN IN DIGITAL FILTERS AN EFFICIENT MAC DESIGN IN DIGITAL FILTERS THIRUMALASETTY SRIKANTH 1*, GUNGI MANGARAO 2* 1. Dept of ECE, Malineni Lakshmaiah Engineering College, Andhra Pradesh, India. Email Id : srikanthmailid07@gmail.com

More information

DSP First, 2/e. y[n] a 1. y[n 1] a 2. y[n 2] b k. x[n k] This Lecture: Lecture 25 Second-Order IIR Filters: 3-Domains.

DSP First, 2/e. y[n] a 1. y[n 1] a 2. y[n 2] b k. x[n k] This Lecture: Lecture 25 Second-Order IIR Filters: 3-Domains. DSP First, / Lctur 5 Scod-Ordr IIR Filtrs: 3-Domais READING ASSIGNMENTS Tis Lctur: Captr, Scts. - ad - Otr Radig: Exampl of IIR LPF i Sct. -3 POLES & ZEROS Frquc Rspos Impuls Rspos Aug 6 3-6, J McCllla

More information

A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones

A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones A Low-Power Broad-Bandwidth Noise Cancellation VLSI Circuit Design for In-Ear Headphones Abstract: Conventional active noise cancelling (ANC) headphones often perform well in reducing the lowfrequency

More information

Notes on Orthogonal Frequency Division Multiplexing (OFDM)

Notes on Orthogonal Frequency Division Multiplexing (OFDM) Notes on Orthogonal Frequency Division Multiplexing (OFDM). Discrete Fourier ransfor As a reinder, the analytic fors of Fourier and inverse Fourier transfors are X f x t t, f dt x t exp j2 ft dt (.) where

More information

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule

Combinatorics. Chapter Permutations. Reading questions. Counting Problems. Counting Technique: The Product Rule Chapter 3 Combiatorics 3.1 Permutatios Readig questios 1. Defie what a permutatio is i your ow words. 2. What is a fixed poit i a permutatio? 3. What do we assume about mutual disjoitedess whe creatig

More information

DESIGN OF MULTIPLE CONSTANT MULTIPLICATION ALGORITHM FOR FIR FILTER

DESIGN OF MULTIPLE CONSTANT MULTIPLICATION ALGORITHM FOR FIR FILTER Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 3, March 2014,

More information

DISCRETE FOURIER TRANSFORM AND FILTER DESIGN

DISCRETE FOURIER TRANSFORM AND FILTER DESIGN DISCRETE FOURIER TRANSFORM AND FILTER DESIGN N. C. State University CSC557 Multimedia Computing and Networking Fall 2001 Lecture # 03 Spectrum of a Square Wave 2 Results of Some Filters 3 Notation 4 x[n]

More information

Performance Analysis of FIR Digital Filter Design Technique and Implementation

Performance Analysis of FIR Digital Filter Design Technique and Implementation Performance Analysis of FIR Digital Filter Design Technique and Implementation. ohd. Sayeeduddin Habeeb and Zeeshan Ahmad Department of Electrical Engineering, King Khalid University, Abha, Kingdom of

More information

11.2 Areas of Trapezoids and Kites

11.2 Areas of Trapezoids and Kites Investigating g Geometry ACTIVITY Use before Lesson 11.2 11.2 Areas of Trapezoids and Kites MATERIALS grap paper straigtedge scissors tape Q U E S T I O N How can you use a parallelogram to find oter areas?

More information

Windowing High-Resolution ADC Data Part 2

Windowing High-Resolution ADC Data Part 2 Windoing High-Resolution DC Data art Josh Carnes pplications Engineer, ational Seiconductor Corp. bstract nalyzing data fro DCs requires the use of indoing functions for spectral estiation and analysis

More information

Design and Implementation of Block Based Transpose Form FIR Filter

Design and Implementation of Block Based Transpose Form FIR Filter Design and Ipleentation of Bloc Based Transpose For FIR Filter O. Venata rishna 1, Dr. C. Venata Narasihulu 2, Dr.. Satya Prasad 3 1 (ECE, CVR College of Engineering, Hyderabad, India) 2 (ECE, Geethanjali

More information

ELEG 5693 Wireless Communications Ch. 6 Diversity

ELEG 5693 Wireless Communications Ch. 6 Diversity Departet of Electrical Egieerig Uiversit of Arasas ELEG 5693 Wireless Couicatios C. 6 Diversit Dr. Jigia Wu wuj@uar.edu OUTLIE Itroductio Classificatio Space Diversit Teciques Space Tie Bloc Code ITRODUCTIO

More information

Exploring DSP Performance

Exploring DSP Performance ECE1756, Experiment 02, 2015 Communications Lab, University of Toronto Exploring DSP Performance Bruno Korst, Siu Pak Mok & Vaughn Betz Abstract The performance of two DSP architectures will be probed

More information

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Improving Signal Quality 3 24 Filter Bank Design 4 24 Potpourri Total 100

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Improving Signal Quality 3 24 Filter Bank Design 4 24 Potpourri Total 100 The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 Date: March 7, 2014 Course: EE 445S Evans Name: Last, First The exam is scheduled to last 50 minutes. Open books

More information

The PAPR and Simple PAPR Reduction of the 2D Spreading Based Communication Systems

The PAPR and Simple PAPR Reduction of the 2D Spreading Based Communication Systems RADIOENGINEERING, VOL. 9, NO., APRIL 7 The PAPR and Siple PAPR Reduction of the D Spreading Based Counication Systes Jiří BLUMENSTEIN, Zbyněk FEDRA Dept. of Radio Electronics, Brno University of Technology,

More information

Basic Symbols for Register Transfers. Symbol Description Examples

Basic Symbols for Register Transfers. Symbol Description Examples T-58 Basic Symbols for Register Trasfers TABLE 7- Basic Symbols for Register Trasfers Symbol Descriptio Examples Letters Deotes a register AR, R2, DR, IR (ad umerals) Paretheses Deotes a part of a register

More information

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM

Department of Electrical and Computer Engineering, Cornell University. ECE 3150: Microelectronics. Spring Due on April 26, 2018 at 7:00 PM Departmet of Electrical ad omputer Egieerig, orell Uiersity EE 350: Microelectroics Sprig 08 Homework 0 Due o April 6, 08 at 7:00 PM Suggested Readigs: a) Lecture otes Importat Notes: ) MAKE SURE THAT

More information

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK DESIGN AND IMPLEMENTATION OF TRUNCATED MULTIPLIER FOR DSP APPLICATIONS AKASH D.

More information

ECE 333: Introduction to Communication Networks Fall Lecture 4: Physical layer II

ECE 333: Introduction to Communication Networks Fall Lecture 4: Physical layer II ECE 333: Itroductio to Commuicatio Networks Fall 22 Lecture : Physical layer II Impairmets - distortio, oise Fudametal limits Examples Notes: his lecture cotiues the discussio of the physical layer. Recall,

More information

Lecture 4 Frequency Response of FIR Systems (II)

Lecture 4 Frequency Response of FIR Systems (II) EE3054 Signals and Systems Lecture 4 Frequency Response of FIR Systems (II Yao Wang Polytechnic University Most of the slides included are extracted from lecture presentations prepared by McClellan and

More information

High Speed Area Efficient Modulo 2 1

High Speed Area Efficient Modulo 2 1 High Speed Area Efficiet Modulo 2 1 1-Soali Sigh (PG Scholar VLSI, RKDF Ist Bhopal M.P) 2- Mr. Maish Trivedi (HOD EC Departmet, RKDF Ist Bhopal M.P) Adder Abstract Modular adder is oe of the key compoets

More information

School of Electrical and Computer Engineering, Cornell University. ECE 303: Electromagnetic Fields and Waves. Fall 2007

School of Electrical and Computer Engineering, Cornell University. ECE 303: Electromagnetic Fields and Waves. Fall 2007 Scool of Electrical and Computer Engineering, Cornell University ECE 303: Electromagnetic Fields and Waves Fall 007 Homework 11 Due on Nov. 9, 007 by 5:00 PM Reading Assignments: i) Review te lecture notes.

More information

Unit 5 Waveguides P a g e 1

Unit 5 Waveguides P a g e 1 Unit 5 Waveguides P a g e Syllabus: Introduction, wave equation in Cartesian coordinates, Rectangular waveguide, TE, TM, TEM waves in rectangular guides, wave impedance, losses in wave guide, introduction

More information

Lecture 3 Review of Signals and Systems: Part 2. EE4900/EE6720 Digital Communications

Lecture 3 Review of Signals and Systems: Part 2. EE4900/EE6720 Digital Communications EE4900/EE6720: Digital Communications 1 Lecture 3 Review of Signals and Systems: Part 2 Block Diagrams of Communication System Digital Communication System 2 Informatio n (sound, video, text, data, ) Transducer

More information

OPTIMIZATION OF RNS FIR FILTERS FOR 6-INPUTS LUT BASED FPGAS

OPTIMIZATION OF RNS FIR FILTERS FOR 6-INPUTS LUT BASED FPGAS OPTIMIZATION OF RNS FIR FILTERS FOR 6-INPUTS LUT BASED FPGAS G.C. Cardarilli, M. Re, A. Salsao Uiversity of Rome Tor Vergata Departmet of Electroic Egieerig Via del Politecico 1 / 00133 / Rome / ITAL {marco.re,

More information

SGN-2156 SYSTEM LEVEL DSP ALGORITHMS. Lectures: Tapio Saramäki, Exercises: Muhammad Ahsan,

SGN-2156 SYSTEM LEVEL DSP ALGORITHMS. Lectures: Tapio Saramäki, Exercises: Muhammad Ahsan, SGN-2156 SYSTEM LEVEL DSP ALGORITHMS Lectures: Tapio Saramäki, ts@cs.tut.fi Exercises: Muhammad Ahsan, muhammad.ahsan@tut.fi PURPOSE OF THE COURCE System-level design of DSP algorithms for varoius applications.

More information

The Eye. Objectives: Introduction. PHY 192 The Eye 1

The Eye. Objectives: Introduction. PHY 192 The Eye 1 PHY 92 The Eye The Eye Objectives: Describe the basic process of image formatio by the huma eye ad how it ca be simulated i the laboratory. Kow what measuremets are ecessary to quatitatively diagose ear-sightedess

More information

Using Soft Multipliers with Stratix & Stratix GX

Using Soft Multipliers with Stratix & Stratix GX Using Soft Multipliers with Stratix & Stratix GX Devices November 2002, ver. 2.0 Application Note 246 Introduction Traditionally, designers have been forced to make a tradeoff between the flexibility of

More information

ELEC 204 Digital Systems Design

ELEC 204 Digital Systems Design Fall 2013, Koç Uiversity ELEC 204 Digital Systems Desig Egi Erzi College of Egieerig Koç Uiversity,Istabul,Turkey eerzi@ku.edu.tr KU College of Egieerig Elec 204: Digital Systems Desig 1 Today: Datapaths

More information

GUJARAT TECHNOLOGICAL UNIVERSITY

GUJARAT TECHNOLOGICAL UNIVERSITY Type of course: Compulsory GUJARAT TECHNOLOGICAL UNIVERSITY SUBJECT NAME: Digital Signal Processing SUBJECT CODE: 2171003 B.E. 7 th SEMESTER Prerequisite: Higher Engineering Mathematics, Different Transforms

More information

Optimized FIR filter design using Truncated Multiplier Technique

Optimized FIR filter design using Truncated Multiplier Technique International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Optimized FIR filter design using Truncated Multiplier Technique V. Bindhya 1, R. Guru Deepthi 2, S. Tamilselvi 3, Dr. C. N. Marimuthu

More information

ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet

ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet ELEC-C5230 Digitaalisen signaalinkäsittelyn perusteet Lecture 10: Summary Taneli Riihonen 16.05.2016 Lecture 10 in Course Book Sanjit K. Mitra, Digital Signal Processing: A Computer-Based Approach, 4th

More information

A Simplified Method for Phase Noise Calculation

A Simplified Method for Phase Noise Calculation Poster: T-18 Simplified Method for Phase Noise Calculatio Massoud Tohidia, li Fotowat hmady* ad Mahmoud Kamarei Uiversity of Tehra, *Sharif Uiversity of Techology, Tehra, Ira Outlie Itroductio Prelimiary

More information

Implementation of Parallel Multiplier-Accumulator using Radix- 2 Modified Booth Algorithm and SPST

Implementation of Parallel Multiplier-Accumulator using Radix- 2 Modified Booth Algorithm and SPST ǁ Volume 02 - Issue 01 ǁ January 2017 ǁ PP. 06-14 Implementation of Parallel Multiplier-Accumulator using Radix- 2 Modified Booth Algorithm and SPST Ms. Deepali P. Sukhdeve Assistant Professor Department

More information

Frequency Division Multiplexing Spring 2011 Lecture #14. Sinusoids and LTI Systems. Periodic Sequences. x[n] = x[n + N]

Frequency Division Multiplexing Spring 2011 Lecture #14. Sinusoids and LTI Systems. Periodic Sequences. x[n] = x[n + N] Frequency Division Multiplexing 6.02 Spring 20 Lecture #4 complex exponentials discrete-time Fourier series spectral coefficients band-limited signals To engineer the sharing of a channel through frequency

More information

Basic Signals and Systems

Basic Signals and Systems Chapter 2 Basic Signals and Systems A large part of this chapter is taken from: C.S. Burrus, J.H. McClellan, A.V. Oppenheim, T.W. Parks, R.W. Schafer, and H. W. Schüssler: Computer-based exercises for

More information

Design and Performance Analysis of a Reconfigurable Fir Filter

Design and Performance Analysis of a Reconfigurable Fir Filter Design and Performance Analysis of a Reconfigurable Fir Filter S.karthick Department of ECE Bannari Amman Institute of Technology Sathyamangalam INDIA Dr.s.valarmathy Department of ECE Bannari Amman Institute

More information

An Efficient Reconfigurable Fir Filter based on Twin Precision Multiplier and Low Power Adder

An Efficient Reconfigurable Fir Filter based on Twin Precision Multiplier and Low Power Adder An Efficient Reconfigurable Fir Filter based on Twin Precision Multiplier and Low Power Adder Sony Sethukumar, Prajeesh R, Sri Vellappally Natesan College of Engineering SVNCE, Kerala, India. Manukrishna

More information

Combined Noise Tools. i Development i Innovation i Cooperation i Responsibility XI AN WELL-SUN ELECTRONIC TECHNOLOGY PLC.

Combined Noise Tools. i Development i Innovation i Cooperation i Responsibility XI AN WELL-SUN ELECTRONIC TECHNOLOGY PLC. i Development i Innovation i Cooperation i Responsibility Overview A leaking well can damage te environment and result in production loss. Te Noise Tool ouses a sensitive ydropone tat is igly effective

More information

Lecture #2. EE 313 Linear Systems and Signals

Lecture #2. EE 313 Linear Systems and Signals Lecture #2 EE 313 Linear Systems and Signals Preview of today s lecture What is a signal and what is a system? o Define the concepts of a signal and a system o Why? This is essential for a course on Signals

More information

A New Peak Detection Method for Single or Three-Phase Unbalanced Sinusoidal Signals

A New Peak Detection Method for Single or Three-Phase Unbalanced Sinusoidal Signals A New Peak Detectio Metod for Sigle or Tree-Pase Ubalaced Siusoidal Sigals Jusog Rim 1,3, Colyog Ri 1, Hogcol Ji 2, Colji Or 3, Colju Rim 3, Hyewo Ri 2 1. Departmet of Pysics, KimIlSug Uiversity, Pyogyag,

More information

Lecture 3, Multirate Signal Processing

Lecture 3, Multirate Signal Processing Lecture 3, Multirate Signal Processing Frequency Response If we have coefficients of an Finite Impulse Response (FIR) filter h, or in general the impulse response, its frequency response becomes (using

More information

Delta- Sigma Modulator with Signal Dependant Feedback Gain

Delta- Sigma Modulator with Signal Dependant Feedback Gain Delta- Sigma Modulator with Sigal Depedat Feedback Gai K.Diwakar #1 ad V.Vioth Kumar *2 # Departmet of Electroics ad Commuicatio Egieerig * Departmet of Electroics ad Istrumetatio Egieerig Vel Tech Uiversity,Cheai,

More information

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises

Digital Video and Audio Processing. Winter term 2002/ 2003 Computer-based exercises Digital Video and Audio Processing Winter term 2002/ 2003 Computer-based exercises Rudolf Mester Institut für Angewandte Physik Johann Wolfgang Goethe-Universität Frankfurt am Main 6th November 2002 Chapter

More information

Digital Signal Processing. VO Embedded Systems Engineering Armin Wasicek WS 2009/10

Digital Signal Processing. VO Embedded Systems Engineering Armin Wasicek WS 2009/10 Digital Signal Processing VO Embedded Systems Engineering Armin Wasicek WS 2009/10 Overview Signals and Systems Processing of Signals Display of Signals Digital Signal Processors Common Signal Processing

More information

A Survey on Power Reduction Techniques in FIR Filter

A Survey on Power Reduction Techniques in FIR Filter A Survey on Power Reduction Techniques in FIR Filter 1 Pooja Madhumatke, 2 Shubhangi Borkar, 3 Dinesh Katole 1, 2 Department of Computer Science & Engineering, RTMNU, Nagpur Institute of Technology Nagpur,

More information

10GBASE-T. length of precoding response, and PMA training

10GBASE-T. length of precoding response, and PMA training 1GBASE-T TxFE solutios, dpsnr vs legth of precodig respose, ad PMA traiig IEEE P82.3a Task Force Austi, May 18-2, 25 Gottfried Ugerboeck 1 Cotets Study of trasmit frot-ed solutios Simple : o digital filterig,

More information

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters FIR Filter Design Chapter Intended Learning Outcomes: (i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters (ii) Ability to design linear-phase FIR filters according

More information

Data Word Length Reduction for Low-Power DSP Software

Data Word Length Reduction for Low-Power DSP Software EE382C: LITERATURE SURVEY, APRIL 2, 2004 1 Data Word Length Reduction for Low-Power DSP Software Kyungtae Han Abstract The increasing demand for portable computing accelerates the study of minimizing power

More information

ON TWO-PLANE BALANCING OF SYMMETRIC ROTORS

ON TWO-PLANE BALANCING OF SYMMETRIC ROTORS Proceedings of ME Turbo Expo 0 GT0 June -5, 0, openagen, Denmark GT0-6806 ON TO-PLNE BLNING OF YMMETRI ROTOR Jon J. Yu, P.D. GE Energy 63 Bently Parkway out Minden, Nevada 8943 U Pone: (775) 5-5 E-mail:

More information

Biomedical Signals. Signals and Images in Medicine Dr Nabeel Anwar

Biomedical Signals. Signals and Images in Medicine Dr Nabeel Anwar Biomedical Signals Signals and Images in Medicine Dr Nabeel Anwar Noise Removal: Time Domain Techniques 1. Synchronized Averaging (covered in lecture 1) 2. Moving Average Filters (today s topic) 3. Derivative

More information

Corso di DATI e SEGNALI BIOMEDICI 1. Carmelina Ruggiero Laboratorio MedInfo

Corso di DATI e SEGNALI BIOMEDICI 1. Carmelina Ruggiero Laboratorio MedInfo Corso di DATI e SEGNALI BIOMEDICI 1 Carmelina Ruggiero Laboratorio MedInfo Digital Filters Function of a Filter In signal processing, the functions of a filter are: to remove unwanted parts of the signal,

More information

EMBEDDED DOPPLER ULTRASOUND SIGNAL PROCESSING USING FIELD PROGRAMMABLE GATE ARRAYS

EMBEDDED DOPPLER ULTRASOUND SIGNAL PROCESSING USING FIELD PROGRAMMABLE GATE ARRAYS EMBEDDED DOPPLER ULTRASOUND SIGNAL PROCESSING USING FIELD PROGRAMMABLE GATE ARRAYS Diaa ElRahman Mahmoud, Abou-Bakr M. Youssef and Yasser M. Kadah Biomedical Engineering Department, Cairo University, Giza,

More information

EQUALIZED ALGORITHM FOR A TRUCK CABIN ACTIVE NOISE CONTROL SYSTEM

EQUALIZED ALGORITHM FOR A TRUCK CABIN ACTIVE NOISE CONTROL SYSTEM EQUALIZED ALGORITHM FOR A TRUCK CABIN ACTIVE NOISE CONTROL SYSTEM Guangrong Zou, Maro Antila, Antti Lanila and Jari Kataja Sart Machines, VTT Technical Research Centre of Finland P.O. Box 00, FI-0 Tapere,

More information

ijdsp Workshop: Exercise 2012 DSP Exercise Objectives

ijdsp Workshop: Exercise 2012 DSP Exercise Objectives Objectives DSP Exercise The objective of this exercise is to provide hands-on experiences on ijdsp. It consists of three parts covering frequency response of LTI systems, pole/zero locations with the frequency

More information

Finite Word Length Effects on Two Integer Discrete Wavelet Transform Algorithms. Armein Z. R. Langi

Finite Word Length Effects on Two Integer Discrete Wavelet Transform Algorithms. Armein Z. R. Langi International Journal on Electrical Engineering and Informatics - Volume 3, Number 2, 211 Finite Word Length Effects on Two Integer Discrete Wavelet Transform Algorithms Armein Z. R. Langi ITB Research

More information

Digital Signal Processing of Speech for the Hearing Impaired

Digital Signal Processing of Speech for the Hearing Impaired Digital Signal Processing of Speech for the Hearing Impaired N. Magotra, F. Livingston, S. Savadatti, S. Kamath Texas Instruments Incorporated 12203 Southwest Freeway Stafford TX 77477 Abstract This paper

More information

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters

(i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters FIR Filter Design Chapter Intended Learning Outcomes: (i) Understanding of the characteristics of linear-phase finite impulse response (FIR) filters (ii) Ability to design linear-phase FIR filters according

More information

Brief Introduction to Signals & Systems. Phani Chavali

Brief Introduction to Signals & Systems. Phani Chavali Brief Introduction to Signals & Systems Phani Chavali Outline Signals & Systems Continuous and discrete time signals Properties of Systems Input- Output relation : Convolution Frequency domain representation

More information

VLSI Implementation of Digital Down Converter (DDC)

VLSI Implementation of Digital Down Converter (DDC) Volume-7, Issue-1, January-February 2017 International Journal of Engineering and Management Research Page Number: 218-222 VLSI Implementation of Digital Down Converter (DDC) Shaik Afrojanasima 1, K Vijaya

More information

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Upconversion 3 30 Filter Design 4 18 Potpourri Total 100

Problem Point Value Your score Topic 1 28 Discrete-Time Filter Analysis 2 24 Upconversion 3 30 Filter Design 4 18 Potpourri Total 100 The University of Texas at Austin Dept. of Electrical and Computer Engineering Midterm #1 Date: October 17, 2014 Course: EE 445S Evans Name: Last, First The exam is scheduled to last 50 minutes. Open books

More information

DESIGN & FPGA IMPLEMENTATION OF RECONFIGURABLE FIR FILTER ARCHITECTURE FOR DSP APPLICATIONS

DESIGN & FPGA IMPLEMENTATION OF RECONFIGURABLE FIR FILTER ARCHITECTURE FOR DSP APPLICATIONS DESIGN & FPGA IMPLEMENTATION OF RECONFIGURABLE FIR FILTER ARCHITECTURE FOR DSP APPLICATIONS MAHESH BABU KETHA*, CH.VENKATESWARLU ** KANTIPUDI RAGHURAM** ECE Department Pragati Engineering College, Surampalem,

More information

Signals and Systems Using MATLAB

Signals and Systems Using MATLAB Signals and Systems Using MATLAB Second Edition Luis F. Chaparro Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh, PA, USA AMSTERDAM BOSTON HEIDELBERG LONDON NEW YORK

More information

EENG 479 Digital signal processing Dr. Mohab A. Mangoud

EENG 479 Digital signal processing Dr. Mohab A. Mangoud EENG 479 Digital signal processing Dr. Mohab A. Mangoud Associate Professor Department of Electrical and Electronics Engineering College of Engineering University of Bahrain P.O.Box 32038- Kingdom of Bahrain

More information

Precision power measurements for megawatt heating controls

Precision power measurements for megawatt heating controls ARTICLE Precision power measurements for megawatt heating controls Lars Alsdorf (right) explains Jürgen Hillebrand (Yokogawa) the test of the power controller. Precision power measurements carried out

More information

A Novel Three Value Logic for Computing Purposes

A Novel Three Value Logic for Computing Purposes Iteratioal Joural o Iormatio ad Electroics Egieerig, Vol. 3, No. 4, July 23 A Novel Three Value Logic or Computig Purposes Ali Soltai ad Saeed Mohammadi Abstract The aim o this article is to suggest a

More information

A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm

A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm V.Sandeep Kumar Assistant Professor, Indur Institute Of Engineering & Technology,Siddipet

More information

Tehrani N Journal of Scientific and Engineering Research, 2018, 5(7):1-7

Tehrani N Journal of Scientific and Engineering Research, 2018, 5(7):1-7 Available olie www.jsaer.com, 2018, 5(7):1-7 Research Article ISSN: 2394-2630 CODEN(USA): JSERBR 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38

More information

Accuracy Assessment for 3-D Target Coordinates Estimation Using GPS & Total Station

Accuracy Assessment for 3-D Target Coordinates Estimation Using GPS & Total Station Madi et.al. Iraqi Journal of Science, Deceber 2012, Vol. 3, o. 4, Pp. 930-934 Accuracy Assessent for 3-D Target Coordinates Estiation Using GPS & Total Station Aala S. Madi, abeel J. Tawfiq, & Ali k. Hussein

More information

Image Reconstruction Based On Bayer And Implementation On FPGA Sun Chen 1, a, Duan Xiaofeng 2, b and Wu Qijing 3, c

Image Reconstruction Based On Bayer And Implementation On FPGA Sun Chen 1, a, Duan Xiaofeng 2, b and Wu Qijing 3, c 2nd International Worksop on Materials Engineering and Computer Sciences (IWMECS 2015) Image Reconstruction Based On Bayer And Implementation On FPGA Sun Cen 1, a, Duan Xiaofeng 2, b and Wu Qijing 3, c

More information