READING ASSIGNMENTS LECTURE OBJECTIVES. Problem Solving Skills. x(t) = cos(αt 2 ) ELEG-212 Signal Processing and Communications
|
|
|
- Everett Bridges
- 5 years ago
- Views:
Transcription
1 ELEG- Signal Processing and Communicaions Lecure 5 Periodic Signals, Harmonics & ime-varying Sinusoids READING ASSIGNMENS his Lecure: Chaper 3, Secions 3- and 3-3 Chaper 3, Secions 3-7 and 3-8 Lab sars sec., A, A rec. oday Nex Lecure: Fourier Series ANALYSIS Secions 3-, 3-5 and 3-6 ECE- Signal Processing Firs Problem Solving Sills LECURE OBJECIVES Mah Formula Sum o Cosines Amp, Freq, Phase Recorded Signals Speech Music No simple ormula Plo & Seches S versus Specrum MALAB Numerical Compuaion Ploing lis o numbers Signals wih HARMONIC Frequencies Add Sinusoids wih N x A A cosπ FREQUENCY can change vs. IME x cosα Chirps: Inroduce Specrogram Visualizaion specgram.m plospec.m ECE- Signal Processing Firs 3 ECE- Signal Processing Firs
2 SPECRUM DIAGRAM Recall Complex Ampliude vs. Freq X / 3 X a 7e jπ / 3 7e jπ jπ / e e jπ / j X A e 5 5 x cosπ π / 3 8cosπ 5 π / in Hz ECE- Signal Processing Firs 5 SPECRUM or PERIODIC? Nearly Periodic in he Vowel Region Period is Approximaely.65 sec ECE- Signal Processing Firs 6 PERIODIC SIGNALS Repea every secs Deiniion x x Example: x cos 3 Speech can be quasi-periodic? ECE- Signal Processing Firs 7 π 3 π 3 Period o Complex Exponenial x e x jω e e j ω jω x? jω Deiniion: Period is e ω π π π ω ω j e π ineger ECE- Signal Processing Firs 8
3 Harmonic Signal Specrum hereore, we can only have : N A cosπ x A X x X A e N j j { X e X e } π π j ECE- Signal Processing Firs 9 DEFINE FUNDAMENAL x A A N cosπ ω π undamenal Frequency undamenal Period ECE- Signal Processing Firs Harmonic Signal 3 Freqs POP QUIZ: FUNDAMENAL 3rd 5h Here s anoher specrum: / 3 7e jπ 7e jπ jπ / / 3 e e jπ / Wha is he undamenal requency? Hz 5 5 Wha is he undamenal requency? in Hz Hz? 5 Hz? ECE- Signal Processing Firs ECE- Signal Processing Firs 3
4 IRRAIONAL SPECRUM Harmonic Signal 3 Freqs. SPECIAL RELAIONSHIP o ge a PERIODIC SIGNAL ECE- Signal Processing Firs 3 ECE- Signal Processing Firs NON-Harmonic Signal FREQUENCY ANALYSIS Now, a much HARDER problem Given a recording o a song, have he compuer wrie he music NO Can a machine exrac requencies? Yes, i we COMPUE he specrum or x During shor inervals ECE- Signal Processing Firs PERIODIC 5 ECE- Signal Processing Firs 6
5 ime-varying FREQUENCIES Diagram Frequency is he verical axis A- ime is he horizonal axis SIMPLE ES SIGNAL C-major SCALE: sepped requencies Frequency is consan or each noe IDEAL ECE- Signal Processing Firs 7 ECE- Signal Processing Firs 8 SPECRUM ANALYSIS SPECROGRAM ool MALAB uncion is specgram.m ANALYSIS program aes x as inpu Produces specrum values X Breas x ino SHOR IME SEGMENS hen uses he FF Fas Fourier ransorm SPECROGRAM EXAMPLE wo Consan Frequencies: Beas cos π 66 cosπ ECE- Signal Processing Firs 9 ECE- Signal Processing Firs 5
6 AM Radio Signal Same as BEA Noes cos π 66 cosπ jπ 66 jπ 66 j j e e π e e jπ 67 jπ 67 jπ 68 j e e e e 68 π π cos π 67 cosπ 68 SPECRUM o AM Bea complex exponenials in AM: Wha is he undamenal requency? 68 Hz? Hz? in Hz ECE- Signal Processing Firs ECE- Signal Processing Firs SEPPED FREQUENCIES C-major SCALE: successive sinusoids Frequency is consan or each noe SPECROGRAM o C-Scale Sinusoids ONLY IDEAL From SPECGRAM ANALYSIS PROGRAM ARIFACS a ransiions ECE- Signal Processing Firs 3 ECE- Signal Processing Firs 6
7 Specrogram o Sinusoid Synhesis FUR ELISE SPECROGRAM Sinusoids ONLY Analysis Frame ms ARIFACS a ransiions ECE- Signal Processing Firs 5 ECE- Signal Processing Firs 6 ime-varying Frequency Frequency can change vs. ime Coninuously, no sepped FREQUENCY MODULAION FM x cosπ c v CHIRP SIGNALS Linear Frequency Modulaion LFM VOICE New Signal: Linear FM Called Chirp Signals LFM Quadraic phase x Acos α π Freq will change LINEARLY vs. ime Example o Frequency Modulaion FM Deine insananeous requency QUADRAIC ECE- Signal Processing Firs 7 ECE- Signal Processing Firs 8 7
8 8 ECE- Signal Processing Firs 9 INSANANEOUS FREQ Deiniion For Sinusoid: Derivaive o he Angle cos A x d d ω i Maes sense cos A x d d i π ω π π ECE- Signal Processing Firs 3 INSANANEOUS FREQ o he Chirp Chirp Signals have Quadraic phase Freq will change LINEARLY vs. ime β α β α A x cos β α ω d d i ECE- Signal Processing Firs 3 CHIRP SPECROGRAM ECE- Signal Processing Firs 3 CHIRP WAVEFORM
9 OHER CHIRPS SINE-WAVE FREQUENCY MODULAION FM can be anyhing: x Acos α cos β d ω αβ sin β i d could be speech or music: FM radio broadcas Loo a CD-ROM Demos in Ch 3 ECE- Signal Processing Firs 33 ECE- Signal Processing Firs 3 BIRD CHIRP SPECROGRAM ECE- Signal Processing Firs 35 9
DSP First, 2/e. This Lecture: LECTURE #1 Sinusoids. Appendix B: MATLAB
DSP First, 2/e LECURE #1 Sinusoids READING ASSIGNMENS his Lecture: Chapter 2, Sections 2-1 and 2-2 Chapter 1: Introduction Appendix B: MALAB Review Appendix A on Complex Numbers Aug 2016 2003-2016, JH
Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University
Signals and he requency domain ENGR 40M lecure noes July 3, 07 Chuan-Zheng Lee, Sanord Universiy signal is a uncion, in he mahemaical sense, normally a uncion o ime. We oen reer o uncions as signals o
EECE 301 Signals & Systems Prof. Mark Fowler
EECE 3 Signals & Sysems Prof. Mark Fowler Noe Se #8 C-T Sysems: Frequency-Domain Analysis of Sysems Reading Assignmen: Secion 5.2 of Kamen and Heck /2 Course Flow Diagram The arrows here show concepual
Wrap Up. Fourier Transform Sampling, Modulation, Filtering Noise and the Digital Abstraction Binary signaling model and Shannon Capacity
Wrap Up Fourier ransorm Sampling, Modulaion, Filering Noise and he Digial Absracion Binary signaling model and Shannon Capaciy Copyrigh 27 by M.H. Perro All righs reserved. M.H. Perro 27 Wrap Up, Slide
Communications II Lecture 5: Effects of Noise on FM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved
Communicaions II Lecure 5: Eecs o Noise on FM Proessor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved Ouline Recap o FM FM sysem model in noise Derivaion o oupu SNR Pre/de-emphasis
Communication Systems. Communication Systems
Communicaion Sysems Analog communicaion Transmi and receive analog waveforms Ampliude Modulaion (AM Phase Modulaion (PM Freq. Modulaion (FM Quadraure Ampliude Modulaion (QAM Pulse Ampliude Modulaion (PAM
Test 1 Review. Test 1 Review. Communication Systems: Foundational Theories. Communication System. Reference: Sections and
Tes 1 Review Tes 1 Review Proessor Deepa Kundur Universiy o Torono Reerence: Secions 2.2-2.7 and 3.1-3.6 o S. Haykin and M. Moher, Inroducion o Analog & Digial Communicaions, 2nd ed., John iley & Sons,
Lab 3 Acceleration. What You Need To Know: Physics 211 Lab
b Lab 3 Acceleraion Wha You Need To Know: The Physics In he previous lab you learned ha he velociy of an objec can be deermined by finding he slope of he objec s posiion vs. ime graph. x v ave. = v ave.
Revision: June 11, E Main Suite D Pullman, WA (509) Voice and Fax
2.5.3: Sinusoidal Signals and Complex Exponenials Revision: June 11, 2010 215 E Main Suie D Pullman, W 99163 (509) 334 6306 Voice and Fax Overview Sinusoidal signals and complex exponenials are exremely
OpenStax-CNX module: m Elemental Signals. Don Johnson. Perhaps the most common real-valued signal is the sinusoid.
OpenSax-CNX module: m0004 Elemenal Signals Don Johnson This work is produced by OpenSax-CNX and licensed under he Creaive Commons Aribuion License.0 Absrac Complex signals can be buil from elemenal signals,
Lecture #7: Discrete-time Signals and Sampling
EEL335: Discree-Time Signals and Sysems Lecure #7: Discree-ime Signals and Sampling. Inroducion Lecure #7: Discree-ime Signals and Sampling Unlike coninuous-ime signals, discree-ime signals have defined
Notes on the Fourier Transform
Noes on he Fourier Transform The Fourier ransform is a mahemaical mehod for describing a coninuous funcion as a series of sine and cosine funcions. The Fourier Transform is produced by applying a series
EE123 Digital Signal Processing
Announcemens EE23 Digial Signal Processing Lecure Miderms: 2/28, 3/2, 4/2 HAM: Obain FRN number from FCC Fill form applicaion for amaeur radio operaor and bring o class on Friday or before (o Frank) Ink
EE (082) Chapter IV: Angle Modulation Lecture 19 Dr. Wajih Abu-Al-Saud
EE 370-3 (082) Chaer IV: Angle Modulaion Lecure 19 Dr. Wajih Abu-Al-Saud Wideband and PM For he signal shown below, he value o k ay no saisy he condiion k 1, and hereore he aroxiaion used in narrowband
x(at) 1 x(t) h(t) H( jω )X( jω ) x(t)p(t) 1 X( jω ) P( jω) x(t t d ) e jωt d x(t)e jω 0t X( j(ω ω 0 )) LECTURE OBJECTIVES Signal Processing First
Signal Proessing Firs Leure 4 Ampliude Modulaion AM LECURE OBJECIVES Review of F properies Convoluion mulipliaion Frequen shifing Sinewave Ampliude Modulaion AM radio Frequen-division mulipleing FDM
EEO 401 Digital Signal Processing Prof. Mark Fowler
EEO 40 Digial Proceing Pro. Mark Fowler Noe Se #3 Baic Sampling heory Reading Aignmen: Sec. 6. o Proaki & Manolaki /9 Sampling i Key o Much o oday echnology Analog Elecronic ADC DSP Compuer DAC C- C- Syem
ECE ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II
ECE 405 - ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II FALL 2005 A.P. FELZER To do "well" on his invesigaion you mus no only ge he righ answers bu mus also do
ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Continuous-Time Signals
Deparmen of Elecrical Engineering Universiy of Arkansas ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Coninuous-Time Signals Dr. Jingxian Wu wuj@uark.edu OUTLINE 2 Inroducion: wha are signals and sysems? Signals
6.003: Signals and Systems
6.3: Signals and Sysems Lecure 4 March 3, 6.3: Signals and Sysems Fourier Represenaions Mid-erm Examinaion # Wednesday, April 7, 7:3-9:3pm. No reciaions on he day of he exam. Coverage: Lecures 5 Reciaions
Chapter 2: Fourier Representation of Signals and Systems
Tes 1 Review Tes 1 Review Proessor Deepa Kundur Universiy o Torono Reerence: Secions: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7 3.1, 3.2, 3.3, 3.4, 3.5, 3.6 o S. Haykin and M. Moher, Inroducion o Analog & Digial
Introduction: Analog Communication: Goal: Transmit a message from one location to another.
ECE-5 Phil Schnier January 6, 8 Inroducion: Goal: Transmi a rom one locaion o anoher When is coninuous waveorm analog comm (eg, FM radio), sequence o numbers digial comm (eg, mp ile), hough he sequence
ANALOG AND DIGITAL SIGNAL PROCESSING LABORATORY EXPERIMENTS : CHAPTER 3
Laboraory # Chap 3 Objecives Linear Sysem Response: general case Undersand he difference and he relaionship beween a sep and impulse response. Deermine he limis of validiy of an approximaed impulse response.
Digital Signal Processing Lecture 1 - Introduction
Digital Signal Processing - Electrical Engineering and Computer Science University of Tennessee, Knoxville August 20, 2015 Overview 1 2 3 4 Basic building blocks in DSP Frequency analysis Sampling Filtering
dm t t A cos 2 10 t 10
T.C. OKAN ÜNİVERSİTESİ Fauly o Engineering and Arhieure Elerial and Eleroni Engineering Program EEE 3 Analog Communiaions Fall 23 In Class Work Par 4 Soluions:. Skeh he FM and PM modulaed waveorms or he
Passband Data Transmission II References Frequency-shift keying Chapter 6.5, S. Haykin, Communication Systems, Wiley. H.1
Passand Daa ransmission II Reerences Frequency-shi keying Chaper 6.5, S. Haykin, Communicaion Sysems, Wiley. H. Inroducion Inroducion PSK and QAM are linear modulaion FSK is a nonlinear modulaion Similar
Modulation exercises. Chapter 3
Chaper 3 Modulaion exercises Each problem is annoaed wih he leer E, T, C which sands for exercise, requires some hough, requires some concepualizaion. Problems labeled E are usually mechanical, hose labeled
Analog Circuits EC / EE / IN. For
Analog Circuis For EC / EE / IN By www.hegaeacademy.com Syllabus Syllabus for Analog Circuis Small Signal Equivalen Circuis of Diodes, BJTs, MOSFETs and Analog CMOS. Simple Diode Circuis, Clipping, Clamping,
Phase-Shifting Control of Double Pulse in Harmonic Elimination Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi Li1, c
Inernaional Symposium on Mechanical Engineering and Maerial Science (ISMEMS 016 Phase-Shifing Conrol of Double Pulse in Harmonic Eliminaion Wei Peng1, a*, Junhong Zhang1, Jianxin gao1, b, Guangyi i1, c
Principles of Communications Lecture 4: Analog Modulation Techniques (2) Chih-Wei Liu 劉志尉 National Chiao Tung University
Principles o Communicaions Lecure 4: Analog Modulaion Techniques Chih-Wei Liu 劉志尉 Naional Chiao Tung Universiy cwliu@wins.ee.ncu.edu.w Oulines Linear Modulaion Angle Modulaion Inererence Feedback Demodulaors
EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER
EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER INTRODUCTION: Being able o ransmi a radio frequency carrier across space is of no use unless we can place informaion or inelligence upon i. This las ransmier
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
(This lesson plan assumes the students are using an air-powered rocket as described in the Materials section.)
The Mah Projecs Journal Page 1 PROJECT MISSION o MArs inroducion Many sae mah sandards and mos curricula involving quadraic equaions require sudens o solve "falling objec" or "projecile" problems, which
Chapter 4: Angle Modulation
Tes 2 Review Tes 2 Review Professor Deepa Kundur Universiy of Torono Reference: Secions: 4.1, 4.2, 4.3, 4.4, 4.6, 4.7, 4.8 of 5.1, 5.2, 5.3, 5.4, 5.5 6.1, 6.2, 6.3, 6.4, 6.5, 6.6 S. Haykin and M. Moher,
Chapter 4: Angle Modulation
Tes 2 Review Tes 2 Review Professor Deepa Kundur Universiy of Torono Reference: Secions: 4.1, 4.2, 4.3, 4.4, 4.6, 4.7, 4.8 of 5.1, 5.2, 5.3, 5.4, 5.5 6.1, 6.2, 6.3, 6.4, 6.5, 6.6 S. Haykin and M. Moher,
Chapter 2 Introduction: From Phase-Locked Loop to Costas Loop
Chaper 2 Inroducion: From Phase-Locked Loop o Cosas Loop The Cosas loop can be considered an exended version of he phase-locked loop (PLL). The PLL has been invened in 932 by French engineer Henri de Belleszice
The student will create simulations of vertical components of circular and harmonic motion on GX.
Learning Objecives Circular and Harmonic Moion (Verical Transformaions: Sine curve) Algebra ; Pre-Calculus Time required: 10 150 min. The sudens will apply combined verical ranslaions and dilaions in he
March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION
March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION 1. Parial Derivaives and Differeniable funcions In all his chaper, D will denoe an open subse of R n. Definiion 1.1. Consider a funcion
10. The Series Resistor and Inductor Circuit
Elecronicsab.nb 1. he Series esisor and Inducor Circui Inroducion he las laboraory involved a resisor, and capacior, C in series wih a baery swich on or off. I was simpler, as a pracical maer, o replace
weight: amplitude of sine curve
Joseph Fourier s claim: all signals are sums of sinusoids of differen frequencies. weighed sine curves weigh: ampliude of sine curve all : no exacly bu doesn maer for us in pracice Example: 3 sin() + sin(*)
Communication Systems. Department of Electronics and Electrical Engineering
COMM 704: Communicaion Lecure : Analog Mulipliers Dr Mohamed Abd El Ghany Dr. Mohamed Abd El Ghany, Mohamed.abdel-ghany@guc.edu.eg nroducion Nonlinear operaions on coninuous-valued analog signals are ofen
UNIT IV DIGITAL MODULATION SCHEME
UNI IV DIGIAL MODULAION SCHEME Geomeric Represenaion of Signals Ojecive: o represen any se of M energy signals {s i (} as linear cominaions of N orhogonal asis funcions, where N M Real value energy signals
MEASUREMENTS OF VARYING VOLTAGES
MEASUREMENTS OF ARYING OLTAGES Measuremens of varying volages are commonly done wih an oscilloscope. The oscilloscope displays a plo (graph) of volage versus imes. This is done by deflecing a sream of
6.976 High Speed Communication Circuits and Systems Lecture 19 Basics of Wireless Communication
6.976 High Speed Communicaion Circuis and Sysems Lecure 9 Basics o Wireless Communicaion Michael Perro Massachuses Insiue o Technology Copyrigh 23 by Michael H. Perro Ampliude Modulaion (Transmier) Transmier
MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION
J Modern Technology & Engineering Vol2, No1, 217, pp76-81 MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION GA Rusamov 1*, RJ Gasimov 1, VG Farhadov 1 1 Azerbaijan Technical Universiy, Baku, Azerbaijan
Angle Modulation (Phase & Frequency Modulation) EE442 Lecture 8. Spring 2017
Angle Modulaion (Phase & Frequency Modulaion) EE442 Lecure 8 Spring 2017 1 Ampliude, Frequency and Phase Modulaion Wih ew excepions, Phase Modulaion (PM) is used primarily in digial communicaion 2 Why
Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras
ECEN 44 Communicaion Theory Chaper Summary: Coninuous-Wave Modulaion.1 Modulaion Modulaion is a process in which a parameer of a carrier waveform is varied in accordance wih a given message (baseband)
THE OSCILLOSCOPE AND NOISE. Objectives:
-26- Preparaory Quesions. Go o he Web page hp://www.ek.com/measuremen/app_noes/xyzs/ and read a leas he firs four subsecions of he secion on Trigger Conrols (which iself is a subsecion of he secion The
EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling
EE 330 Lecure 24 Amplificaion wih Transisor Circuis Small Signal Modelling Review from las ime Area Comparison beween BJT and MOSFET BJT Area = 3600 l 2 n-channel MOSFET Area = 168 l 2 Area Raio = 21:1
LECTURE 1 CMOS PHASE LOCKED LOOPS
Lecure 01 (8/9/18) Page 1-1 Objecive LECTURE 1 CMOS PHASE LOCKED LOOPS OVERVIEW Undersand he principles and applicaions of phase locked loops using inegraed circui echnology wih emphasis on CMOS echnology.
Analog/Digital Communications Primer
for Amaeur Radio Virginia Polyechnic Insiue & Sae Universiy March 19, 2013 # include //... in main() { floa kf = 0.1f; // modulaion facor liquid_freqdem_ype ype = LIQUID_FREQDEM_DELAYCONJ;
6.003: Signals and Systems Lecture 24 December 6, 2011
6.3: Signals and Sysems Lecure 24 December 6, 2 6.3: Signals and Sysems Modulaion Subjec Evaluaions Your feedbac is imporan o us! Please give feedbac o he saff and fuure 6.3 sudens: hp://web.mi.edu/subjecevaluaion
Example Message bandwidth and the transmitted signal bandwidth
4.6 Bandwidh-Eiien Modulaions 4.74. We are now going o deine a quaniy alled he bandwidh o a signal. Unorunaely, in praie, here isn jus one deiniion o bandwidh. Deiniion 4.75. The bandwidh (BW) o a signal
EECE 301 Signals & Systems Prof. Mark Fowler
EECE 301 s & Sysems Prof. Mark Fowler Noe Se #1 Wha is s & Sysems all abou??? 1/9 Do All EE s & CoE s Design Circuis? No!!!! Someone has o figure ou wha funcion hose circuis need o do Someone also needs
EE.351: Spectrum Analysis and Discrete-Time Systems MIDTERM EXAM, 2:30PM 4:30PM, November 4, 2004 (closed book)
Name: Suden Number: Page EE.35: Specrum Analysis and Discree-Time Sysems MIDTERM EXAM, :3PM 4:3PM, November 4, 4 (closed book) Examiner: Ha H. Nguyen Noe: There are four quesions. All quesions are of equal
Ultrawideband Normalized Radar Cross Sections of Distributed Clutter
Ulrawideband Normalized Radar Cross Secions o Disribued Cluer Ram M. Narayanan Deparmen o Elecrical Engineering The Pennsylvania Sae Universiy Universiy Park, PA 68, USA ram@engr.psu.edu Absrac Theoreical
6.003: Signals and Systems Lecture 24 May 6, 2010
6.3: Signals and Sysems Lecure 24 May 6, 2 6.3: Signals and Sysems Course VI Underground Guide Modulaion Please give us and fuure sudens feedbac on 6.3 by paricipaing in he Course VI Underground Guide
EE201 Circuit Theory I Fall
EE1 Circui Theory I 17 Fall 1. Basic Conceps Chaper 1 of Nilsson - 3 Hrs. Inroducion, Curren and Volage, Power and Energy. Basic Laws Chaper &3 of Nilsson - 6 Hrs. Volage and Curren Sources, Ohm s Law,
Deblurring Images via Partial Differential Equations
Deblurring Images via Parial Dierenial Equaions Sirisha L. Kala Mississippi Sae Universiy slk3@mssae.edu Advisor: Seh F. Oppenheimer Absrac: Image deblurring is one o he undamenal problems in he ield o
f t 2cos 2 Modulator Figure 21: DSB-SC modulation.
4.5 Ampliude modulaion: AM 4.55. DSB-SC ampliude modulaion (which is summarized in Figure 21) is easy o undersand and analyze in boh ime and frequency domains. However, analyical simpliciy is no always
Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost)
Table of Conens 3.0 SMPS Topologies 3.1 Basic Componens 3.2 Buck (Sep Down) 3.3 Boos (Sep Up) 3.4 nverer (Buck/Boos) 3.5 Flyback Converer 3.6 Curren Boosed Boos 3.7 Curren Boosed Buck 3.8 Forward Converer
EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK
EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK INTRODUCTION: Much of daa communicaions is concerned wih sending digial informaion hrough sysems ha normally only pass analog signals. A elephone line is such
2.6 Special Angles on Parallel Lines Objectives: I CAN define angle pairs made by parallel lines. I CAN solve problems involving parallel lines.
2.6 Special Angles on Parallel Lines Objecives: I CAN define angle pairs made by parallel lines. I CAN solve problems involving parallel lines. 1 coplanar: poins on he same plane ransversal: a line ha
Lecture 11. Digital Transmission Fundamentals
CS4/MSc Compuer Neworking Lecure 11 Digial Transmission Fundamenals Compuer Neworking, Copyrigh Universiy of Edinburgh 2005 Digial Transmission Fundamenals Neworks consruced ou of Links or ransmission
Signal detection, Fouriertransformation, phase correction and quadrature detection
2/35 Signal deecion, Fourierransformaion, phase correcion and quadraure deecion Peer Schmieder Schmilka 2004 Wha is his seminar abou? Signaldeecion Wha kind of signal do we deec in NMR Fourierransformaion
Power losses in pulsed voltage source inverters/rectifiers with sinusoidal currents
ree-wheeling diode Turn-off power dissipaion: off/d = f s * E off/d (v d, i LL, T j/d ) orward power dissipaion: fw/t = 1 T T 1 v () i () d Neglecing he load curren ripple will resul in: fw/d = i Lavg
Sound so far: 10/13/2013. Sound and stringed instruments
0/3/203 Sound and ed insrumens Sound so far: Sound is a pressure or densiy flucuaion carried (usually) by air molecules sound wae is longdiudinal Wha is he difference beween a hud and a musical noe? ecure
Noise Reduction/Mode Isolation with Adaptive Down Conversion (ADC)
Page 1 Noise Reducion/Mode Isolaion wih Adapive Down Conversion (ADC) Abel B. Diaz, Thomas W. Tunnell NSTec Los Alamos Operaions Presened o PDV Workshop 8-16-2007 Page 2 Summary Adapive down conversion
Mobile Communications Chapter 2: Wireless Transmission
This book ocuses on higher layer aspecs o mobile communicaions, he compuer science elemens raher han on he radio and ransmission aspecs, he elecrical engineering par. This chaper inroduces only hose undamenal
The University of Melbourne Department of Mathematics and Statistics School Mathematics Competition, 2013 JUNIOR DIVISION Time allowed: Two hours
The Universiy of Melbourne Deparmen of Mahemaics and Saisics School Mahemaics Compeiion, 203 JUNIOR DIVISION Time allowed: Two hours These quesions are designed o es your abiliy o analyse a problem and
Lecture 12: Modulation Techniques for Mobile Radio. Amplitude Modulation (Full AM or Double Sideband with Carrier)
EE 499: Wireless & Mobile Communiaions (08) Leure : Modulaion Tehniques or Mobile Radio Dr. Wajih. bu-l-saud mpliude Modulaion Tehniques mpliude Modulaion (Full M or Double Sideband wih Carrier) The general
Complex Sounds. Reading: Yost Ch. 4
Complex Sounds Reading: Yost Ch. 4 Natural Sounds Most sounds in our everyday lives are not simple sinusoidal sounds, but are complex sounds, consisting of a sum of many sinusoids. The amplitude and frequency
Physics 115 Lecture 13. Fourier Analysis February 22, 2018
Physics 115 Lecture 13 Fourier Analysis February 22, 2018 1 A simple waveform: Fourier Synthesis FOURIER SYNTHESIS is the summing of simple waveforms to create complex waveforms. Musical instruments typically
Question 1 TELE4353. Average Delay Spread. RMS Delay Spread = = Channel response (2) Channel response (1)
ELE4353 Mobile and Saellie Communicaion Syem uorial 3 (wee 7-8 S 4 Queion If a paricular modulaion provide uiable ER performance whenever σ /
Negative frequency communication
Negaive frequency communicaion Fanping DU Email: dufanping@homail.com Qing Huo Liu arxiv:2.43v5 [cs.it] 26 Sep 2 Deparmen of Elecrical and Compuer Engineering Duke Universiy Email: Qing.Liu@duke.edu Absrac
ECS455: Chapter 4 Multiple Access
Spread specrum (SS) ECS455: Chaper 4 Muliple Access Dr.Prapun Suksompong prapun.com/ecs455 4.3 DS/SS Oice Hours: BKD, 6h loor o Sirindhralai building Tuesday 4:20-5:20 Wednesday 4:20-5:20 Friday 9:5-0:5
FROM ANALOG TO DIGITAL
FROM ANALOG TO DIGITAL OBJECTIVES The objecives of his lecure are o: Inroduce sampling, he Nyquis Limi (Shannon s Sampling Theorem) and represenaion of signals in he frequency domain Inroduce basic conceps
Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival
Square Waves, Sinusoids and Gaussian Whie Noise: A Maching Pursui Conundrum? Don Percival Applied Physics Laboraory Deparmen of Saisics Universiy of Washingon Seale, Washingon, USA hp://faculy.washingon.edu/dbp
Signal Characteristics
Signal Characerisics Analog Signals Analog signals are always coninuous (here are no ime gaps). The signal is of infinie resoluion. Discree Time Signals SignalCharacerisics.docx 8/28/08 10:41 AM Page 1
Network Performance Metrics
Fundamenals of Compuer Neworks ECE 478/578 Lecure #3 Insrucor: Loukas Lazos Dep of Elecrical and Compuer Engineering Universiy of rizona Nework Performance Merics andwidh moun of daa ransmied per uni of
Optical Short Pulse Generation and Measurement Based on Fiber Polarization Effects
Opical Shor Pulse Generaion and Measuremen Based on Fiber Polarizaion Effecs Changyuan Yu Deparmen of Elecrical & Compuer Engineering, Naional Universiy of Singapore, Singapore, 117576 A*STAR Insiue for
16 Dancin Till the Blues are Gone
6 Dancin Till he Blues are Gone RESOURCES P CD rack 6 (performance); CD rack 6 (backing) Informaion This is a -bar blues, revved up for he dance floor of he early 960s! Saring Beginwihsomeposureexercises(seepx)Aiora
Communications II Lecture 7: Performance of digital modulation
Communicaions II Lecure 7: Performance of digial modulaion Professor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved Ouline Digial modulaion and demodulaion Error probabiliy
ECE3204 Microelectronics II Bitar / McNeill. ECE 3204 / Term D-2017 Problem Set 7
EE3204 Microelecronics II Biar / McNeill Due: Monday, May 1, 2017 EE 3204 / Term D-2017 Problem Se 7 All ex problems from Sedra and Smih, Microelecronic ircuis, 7h ediion. NOTES: Be sure your NAME and
Lab S-8: Spectrograms: Harmonic Lines & Chirp Aliasing
DSP First, 2e Signal Processing First Lab S-8: Spectrograms: Harmonic Lines & Chirp Aliasing Pre-Lab: Read the Pre-Lab and do all the exercises in the Pre-Lab section prior to attending lab. Verification:
6.776 High Speed Communication Circuits Lecture 17 Noise in Voltage Controlled Oscillators
6.776 High Speed Communicaion Circuis Lecure 7 Noise in Volage Conrolled Oscillaors Michael Perro Massachuses Insiue o Technology April, 005 Copyrigh 005 by Michael H. Perro VCO Noise in Wireless Sysems
Lab 3 SPECTRUM ANALYSIS OF THE PERIODIC RECTANGULAR AND TRIANGULAR SIGNALS 3.A. OBJECTIVES 3.B. THEORY
Lab 3 SPECRUM ANALYSIS OF HE PERIODIC RECANGULAR AND RIANGULAR SIGNALS 3.A. OBJECIVES. he spectrum of the periodic rectangular and triangular signals.. he rejection of some harmonics in the spectrum of
13.1 Analog/Digital Lowpass Butterworth Filter
CHAPTER 3 IIR FILTER DESIGN 3. Analog/Digial Lowpass Buerworh Filer This docuen designs a lowpass digial IIR filer of he Buerworh ype. A bilinear ransforaion is perfored o creae a digial filer fro he analog
5 Spatial Relations on Lines
5 Spaial Relaions on Lines There are number of useful problems ha can be solved wih he basic consrucion echniques developed hus far. We now look a cerain problems, which involve spaial relaionships beween
Multipath. Introduction. Theory. Multipath 7.1
Mulipa 7. Mulipa Inroducion Tere are wo caracerisics o radio cannels a presen serious diiculies or elecommunicaion sysems. One is e remendous dynamic range a mus be accommodaed due o e large cange in pa
Sinusoids. Lecture #2 Chapter 2. BME 310 Biomedical Computing - J.Schesser
Sinusoids Lecture # Chapter BME 30 Biomedical Computing - 8 What Is this Course All About? To Gain an Appreciation of the Various Types of Signals and Systems To Analyze The Various Types of Systems To
Principles of Communications
Sae Key Lab. on ISN, Xidian Universiy Principles of Communicaions Chaper VI: Elemenary Digial Modulaion Sysem Email: ychwang@mail.xidian.edu.cn Xidian Universiy Sae Key Lab. on ISN December 13, 2013 Sae
Lecture 7 Frequency Modulation
Lecture 7 Frequency Modulation Fundamentals of Digital Signal Processing Spring, 2012 Wei-Ta Chu 2012/3/15 1 Time-Frequency Spectrum We have seen that a wide range of interesting waveforms can be synthesized
Lecture 19: Lowpass, bandpass and highpass filters
Leure 9: Lowpass, bandpass and higass filers UHTXHQF\6HOHFLYH LOHUV Ideal frequeny-seleive filers are filers ha le frequeny omponens over a given frequeny band (he passband pass hrough undisored, while
Pulse amplitude modula.on Baseband to passband and back
Pulse ampliude modula.on Baseband o and back message inpu ) Today s opics concern wih he modulaor and demodulaor ransminer acharapan Suwansan.suk Sampler Quan.zer Source Channel Modulaor analog sequence
Exercise 1 Principles of Computer Aided Modeling and Simulation
Gdans Universiy o Technology, Faculy o Ocean Engineering and Ship Technology Modeling and Conrol o Dynaic Syses, Laboraory, M. H. Ghaei Eercise Principles o Copuer Aided Modeling and Siulaion OBJECTIVE
Introduction to OFDM
E225C Lecure 16 OFDM Inroducion EE225C Inroducion o OFDM asic idea» Using a large number o parallel narrow-band subcarriers insead o a single wide-band carrier o ranspor inormaion Advanages» Very easy
Solution of ECE 342 Test 2 S12
Soluion of ECE 342 Tes 2 S2. All quesions regarding superheerodyne receivers refer o his diagram. x c () Anenna B T < B RF < 2 f B = B T Oher Signals f c Mixer f Baseband x RFi RF () x RFo () () () x i
Generating Polar Modulation with R&S SMU200A
Rohde & Schwarz producs: SMU00 Generaing Polar Modulaion wih R&S SMU00 Polar modulaion is a mehod where digial modulaion is realized as a combinaion of phase and ampliude modulaion, raher han using an
Laboratory #2. Spectral Analysis of Digital Baseband Signals. SYSC 4600 Digital Communications
Laboraory #2 Speral Analysis of Digial Baseband Signals SYSC 4600 Digial Communiaions Deparmen of Sysems and Compuer Engineering Fauly of Engineering Carleon Universiy Oober 206 Deparmen of Sysems & Compuer
Discrete-time Signals & Systems
Discrete-time Signals & Systems S Wongsa Dept. of Control Systems and Instrumentation Engineering, KMU JAN, 2011 1 Overview Signals & Systems Continuous & Discrete ime Sampling Sampling in Frequency Domain