Outline. 1 Path-Loss, Large-Scale-Fading, Small-Scale Fading. 2 Simplified Models. 3 Multipath Fading Channel

Size: px
Start display at page:

Download "Outline. 1 Path-Loss, Large-Scale-Fading, Small-Scale Fading. 2 Simplified Models. 3 Multipath Fading Channel"

Transcription

1 Outline Digital Communiations Leture 11 Wireless Channels Pierluigi SALVO OSSI Department of Industrial and Information Engineering Seond University of Naples Via oma 29, Aversa CE), Italy homepage: Path-Loss, Large-Sale-Fading, Small-Sale Fading 2 Simplified Models 3 Multipath Fading Channel 4 WSSUS Channel, Correlations and Power Spetra 5 Underspread and Overspread Channels P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 1 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 2 / 25 Wireless Channels Main Phenomena 1/2) Path-Loss due to dissipation of the radiated power variations our over very-large distanes 100m-1000m) modeled deterministially Shadowing or Large-Sale Fading due to obstrution of obstales between TX and X variations our over obstale size 1m-100m) modeled stohastially Multipath Fading or Small-Sale Fading due to onstrutive/destrutive ombination of signal replias at the X variations our over signal wavelength 1mm-1m) modeled stohastially P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 3 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 4 / 25

2 Main Phenomena 2/2) One Path, Stati TX, Stati X TX in the origin transmits one single sinusoid Path-Loss green) Shadowing red) Multipath Fading blue) X at point p = r, θ, ψ) reeives xt) = expj2πft) r exp j2πf t r )) Hf) = yt) = exp j2πf r ) xt) r We will fous on Small-Sale Fading P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 5 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 6 / 25 Two Paths, Stati TX, Stati X TX in the origin transmits one single sinusoid xt) = expj2πft) X at point p = r, θ, ψ) reeives one diret ray LOS) and one refleted ray overall distane r 1 = r + r) r Hf) = r θ = 2π r λ exp j2πf t r )) + exp j2πf t r 1 r 1 )) exp j2πf r ) + r + r exp j2πf r + r ) Small reeived power for r = nλ/2 and n Z P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 7 / 25 One Path, Stati TX, Mobile X TX in the origin transmits one single sinusoid xt) = expj2πft) X at point pt) = rt), θ, ψ), with rt) = r 0 + vt, reeives exp j2πf t rt) )) rt) = exp j2πf r ) 0 exp j2πf 1 v ) ) t r 0 + vt yt) = exp xt) r 0 + vt Doppler shift of fv/ j2πf r 0 ) exp j2πf v ) t P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 8 / 25

3 Multipath Fading Channel 1/2) Assume no AWGN for simpliity Multiple paths from TX to X y BP t) = Nt) α l t)x BP t τ l t)) Nt) is the number of resolvable satterers at time t α l t) is the attenuation introdued by the lth satterer at time t τ l t) is the delay introdued by the lth satterer at time t Baseband representation: s BP t) = {st) expj2πf t)} Multipath Fading Channel 2/2) Baseband I/O relation Nt) Stohasti LTV hannel: α l t) exp j2πf τ l t)) xτ τ }{{} l t)) l t)=α l t) exp jϑ l t)) ht, τ) = Nt) ht, τ)xt τ)dτ l t)δτ τ l t)) Generalization for Continuum of Multipath Components ht, τ) = αt, τ) exp j2πf τ) P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 9 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Stohasti Impulse esponse 1/2) Large variations of α l t) are needed to impat the reeived signal Small variations of ϑ l t) do impat the reeived signal For a given t 0, we assume that ht 0, τ) is deterministi summable For a given τ 0, we assume that ht, τ 0 ) is stohasti not summable The time-variant) F-transform of the hannel response is Ht, f) = ht, τ) exp j2πfτ)dτ Stohasti Impulse esponse 2/2) The hannel response is modeled as a omplex-valued Gaussian random proess Central Limit Theorem) Components may add up onstrutively or destrutively ausing flutuations of the reeived signal power, i.e. fading ayleigh fading ht, τ) is a zero-mean omplex-valued Gaussain proess suitable for NLOS hannel iean fading ht, τ) is a nonzero-mean omplex-valued Gaussain proess suitable for LOS hannel Nakagami fading mathing empirial measurements P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25

4 WSSUS Channel Wide Sense Stationary WSS): E{ht 1, τ 1 }h t 2, τ 2 )} = E{h0, τ 1 }h t 2 t 1, τ 2 )} Unorrelated Sattering US): { E{ht 1, τ 1 }h E{ht 1, τ 1 }h t 2, τ 1 )} τ 1 = τ 2 t 2, τ 2 )} = 0 τ 1 τ 2 WSSUS Channel E{ht, τ}h t + t, τ )} = φ h t, τ)δτ τ ) Multipath Intensity Profile φ h 0, τ) is alled Multipath Intensity Profile or Delay Power Spetrum and provides the average power output as a funtion of delay ht, τ)xt τ)dτ K y t, t t) = E{yt)y t t)} = φ h t, τ)xt τ)x t t τ)dτ P y t) = E{ yt) 2 } = K y t, t) = φ h 0, τ) xt τ) 2 dτ P y = P y t) = P x φ h 0, τ)dτ P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Spaed-Time Spaed-Frequeny Correlation Funtion Φ h t, f) is alled spaed-time spaed-frequeny orrelation funtion Φ h t, f) = E{Ht, f)h t t, f f)} = φ h t, τ) exp j2π f τ)dτ = F {φ h t, τ)} τ f) ht, τ)xt τ)dτ = Ht, f)xf) expj2πft)df x n t) = e j2πfnt X n f) = δf f n ) y n t) = Ht, f n )e j2πfnt Multipath Delay Spread and Coherene Bandwidth 1/2) φ h t, τ) as a funtion of τ is a power spetrum The essential) duration T m of the funtion φ h 0, τ) is denoted Multipath Delay Spread Φ h t, f) as a funtion of f is an autoorrelation The essential) duration B of the funtion Φ h 0, f) is denoted Coherene Bandwidth E{y n t)y mt)} = E{Ht, f n )H t, f m )} expj2πf n f m )t) = Φ h 0, f n f m ) expj2πf n f m )t) T m B 1 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25

5 Multipath Delay Spread and Coherene Bandwidth 2/2) Two spetral omponents of the transmitted signal) whose separation is larger than B are unorrelated at the reeiver The linear distortion is due to frequeny seletivity if B x B, then the signal undergoes linear distortion if B x B, then the signal does not undergo linear distortion The transmitted signal is spread in time due to the onvolution with the hannel response) and its duration is inreased of T m The linear distortion is due to inter-symbol interferene if T x T m, then the signal undergoes linear distortion if T x T m, then the signal does not undergo linear distortion Doppler Power Spetrum s h λ, 0) is alled Doppler Power Spetrum and desribes the time varying effets in terms of Doppler shifts s h λ, f) = Φ h t, f) exp j2πλ t)d t = F {Φ h t, f)} t λ) x n t) = e j2πfnt X n f) = δf f n ) y n t) = Ht, f n )e j2πfnt E{yt)y t t)} = E{Ht, f n )H t t, f n )} expj2πf n t) = Φ h t, 0) expj2πf n t) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Coherene Time and Doppler Spread 1/2) Coherene Time and Doppler Spread 2/2) Φ h t, f) as a funtion of t is an autoorrelation The essential) duration T of the funtion Φ h t, 0) is denoted Coherene Time s h λ, f) as a funtion of λ is a power spetrum The essential) duration B d of the funtion s h λ, 0) is denoted Doppler Spread T B d 1 Two delayed versions of the transmitted signal) whose separation is larger than T are unorrelated at the reeiver The non-linear distortion is due to time-varying effets if T x T, then the signal undergoes non-linear distortion if T x T, then the signal does not undergo non-linear distortion The transmitted signal is spread in Doppler domain and its spetrum is inreased of B d The non-linear distortion is due to Doppler spreading if B x B d, then the signal undergoes non-linear distortion if B x B d, then the signal does not undergo non linear distortion P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25

6 Sattering Funtion S h λ, τ) is alled sattering funtion and is related to the previous funtions as follows Four Cases Digital-modulation sheme with symbol duration T and bandwidth B Wireless hannel with oherene time T and oherene bandwidth B or delay spread T m = 1/B and Doppler spread B d = 1/T ) and S h λ, τ) = F {φ h t, τ)} t λ) = φ h t, τ) exp j2πλ t)d t S h λ, τ) = F 1 {s h λ, f)} f τ) = s h λ, f) exp+j2πτ f)d f P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Frequeny Non-Seletive Channel In general rt) = ht, τ)st τ)dτ = Ht, f)sf) expj2πft)df however, B B means that all spetral omponents of st) undergo the same attenuation and phase shift, i.e. Ht, f) Ht, 0) f [ B, B] or equivalently that the ISI is negligible, and then rt) = αt) exp jϑt)) st) }{{} Ht,0) Slow Time-Varying Channel In general rt) = ht, τ)st τ)dτ = Ht, f)sf) expj2πft)df however, T T means that nonlinear distortion introdued by time-varying effets is negligible, i.e. ht, τ) h0, τ) t [0, T ] or equivalently there is no Doppler shift, and then N ) rt) = l δt τ l ) st) = } {{ } h0,t) N l st τ l ) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25

7 Flat-Flat Fading Channel with AWGN) Most signals have T B 1, then if T m B d < 1 or equiv. B T > 1) the hannel is said underspread if T m B d > 1 or equiv. B T < 1) the hannel is said overspread Underspread hannels allow to selet st) suh that T < T B < B i.e. transmitting over a frequeny non-seletive slow time-varying hannel often denoted flat-flat fading) The signal model is rt) = Hst) + wt) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25

Chapter Review of of Random Processes

Chapter Review of of Random Processes Chapter.. Review of of Random Proesses Random Variables and Error Funtions Conepts of Random Proesses 3 Wide-sense Stationary Proesses and Transmission over LTI 4 White Gaussian Noise Proesses @G.Gong

More information

Lecture 2. Fading Channel

Lecture 2. Fading Channel 1 Lecture 2. Fading Channel Characteristics of Fading Channels Modeling of Fading Channels Discrete-time Input/Output Model 2 Radio Propagation in Free Space Speed: c = 299,792,458 m/s Isotropic Received

More information

ECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 3. Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process

ECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 3. Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process 1 ECE6604 PERSONAL & MOBILE COMMUNICATIONS Week 3 Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process 2 Multipath-Fading Mechanism local scatterers mobile subscriber base station

More information

Lecture 7: Wireless Channels and Diversity Advanced Digital Communications (EQ2410) 1

Lecture 7: Wireless Channels and Diversity Advanced Digital Communications (EQ2410) 1 Wireless : Wireless Advanced Digital Communications (EQ2410) 1 Thursday, Feb. 11, 2016 10:00-12:00, B24 1 Textbook: U. Madhow, Fundamentals of Digital Communications, 2008 1 / 15 Wireless Lecture 1-6 Equalization

More information

Locally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise

Locally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise Preprints (www.preprints.org) NOT PEER-REVIEWED Posted: 1 Deember 17 doi:1.944/preprints171.74.v1 Artile Loally Optimal Radar Waveform Design for Deteting Doubly Spread Targets in Colored Noise Zhenghan

More information

Digital Band-pass Modulation PROF. MICHAEL TSAI 2011/11/10

Digital Band-pass Modulation PROF. MICHAEL TSAI 2011/11/10 Digital Band-pass Modulation PROF. MICHAEL TSAI 211/11/1 Band-pass Signal Representation a t g t General form: 2πf c t + φ t g t = a t cos 2πf c t + φ t Envelope Phase Envelope is always non-negative,

More information

Square Root Raised Cosine Filter

Square Root Raised Cosine Filter Wireless Information Transmission System Lab. Square Root Raised Cosine Filter Institute of Communications Engineering National Sun Yat-sen University Introduction We consider the problem of signal design

More information

9 Geophysics and Radio-Astronomy: VLBI VeryLongBaseInterferometry

9 Geophysics and Radio-Astronomy: VLBI VeryLongBaseInterferometry 9 Geophysis and Radio-Astronomy: VLBI VeryLongBaseInterferometry VLBI is an interferometry tehnique used in radio astronomy, in whih two or more signals, oming from the same astronomial objet, are reeived

More information

Outline Digital Communications. Lecture 02 Signal-Space Representation. Energy Signals. MMSE Approximation. Pierluigi SALVO ROSSI

Outline Digital Communications. Lecture 02 Signal-Space Representation. Energy Signals. MMSE Approximation. Pierluigi SALVO ROSSI Outline igital Communications Lecture 2 Signal-Space Representation Pierluigi SALVO ROSSI epartment of Industrial and Information Engineering Second University of Naples Via Roma 29, 8131 Aversa (CE, Italy

More information

Sensitivity of Spectrum Sensing Techniques to RF impairments

Sensitivity of Spectrum Sensing Techniques to RF impairments Sensitivity of Spetrum Sensing Tehniques to RF impairments Jonathan Verlant-Chenet Julien Renard Jean-Mihel Driot Philippe De Donker François Horlin Université Libre de Bruelles - OPERA Dpt., Avenue F.D.

More information

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels

ELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels Frequeny-Seletve and Tme-Varyng Channels Ampltude flutuatons are not the only effet. Wreless hannel an be frequeny seletve (.e. not flat) and tmevaryng. Frequeny flat/frequeny-seletve hannels Frequeny

More information

Signal Design for Band-Limited Channels

Signal Design for Band-Limited Channels Wireless Information Transmission System Lab. Signal Design for Band-Limited Channels Institute of Communications Engineering National Sun Yat-sen University Introduction We consider the problem of signal

More information

Mobile Radio Communications

Mobile Radio Communications Course 3: Radio wave propagation Session 3, page 1 Propagation mechanisms free space propagation reflection diffraction scattering LARGE SCALE: average attenuation SMALL SCALE: short-term variations in

More information

Point-to-Point versus Mobile Wireless Communication Channels

Point-to-Point versus Mobile Wireless Communication Channels Chapter 1 Point-to-Point versus Mobile Wireless Communication Channels PSfrag replacements 1.1 BANDPASS MODEL FOR POINT-TO-POINT COMMUNICATIONS In this section we provide a brief review of the standard

More information

EE401: Advanced Communication Theory

EE401: Advanced Communication Theory EE401: Advanced Communication Theory Professor A. Manikas Chair of Communications and Array Processing Imperial College London Multi-Antenna Wireless Communications Part-B: SIMO, MISO and MIMO Prof. A.

More information

Outline. Digital Communications. Lecture 12 Performance over Fading Channels and Diversity Techniques. Flat-Flat Fading. Intuition

Outline. Digital Communications. Lecture 12 Performance over Fading Channels and Diversity Techniques. Flat-Flat Fading. Intuition Digital Counications Lecture 2 Perforance over Fading Channels and Diversity Techniques Pierluigi SALVO ROSSI Outline Noncoherent/Coherent Detection 2 Channel Estiation Departent of Industrial and Inforation

More information

APPLICATION OF COMPLETE COMPLEMENTARY SEQUENCE IN ORTHOGONAL MIMO SAR SYSTEM

APPLICATION OF COMPLETE COMPLEMENTARY SEQUENCE IN ORTHOGONAL MIMO SAR SYSTEM Progress In Eletromagnetis Researh C, Vol. 13, 51 66, 2010 APPLICATION OF COMPLETE COMPLEMENTARY SEQUENCE IN ORTHOGONAL MIMO SAR SYSTEM S. F. Li, J. Chen, L. Q. Zhang, and Y. Q. Zhou 201 Lab, Shool of

More information

One-edge Diffraction. Chapter 1. Direction of incidence. Reflected ray 4. Screen y

One-edge Diffraction. Chapter 1. Direction of incidence. Reflected ray 4. Screen y Chapter One-edge Diffration The time domain impulse response for edge diffration is derived from Eqn.. aording to Fig... ϕ < ϕ < π is the angle between y and r. ϕ < ϕ < π is the angle between y and the

More information

On Coding for Orthogonal Frequency Division Multiplexing Systems

On Coding for Orthogonal Frequency Division Multiplexing Systems On Coding for Orthogonal Frequency Division Multiplexing Systems Alan Clark Department of Electrical and Computer Engineering A thesis presented for the degree of Doctor of Philosophy University of Canterbury

More information

Principles of Communications Lecture 8: Baseband Communication Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University

Principles of Communications Lecture 8: Baseband Communication Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University Principles of Communications Lecture 8: Baseband Communication Systems Chih-Wei Liu 劉志尉 National Chiao Tung University cwliu@twins.ee.nctu.edu.tw Outlines Introduction Line codes Effects of filtering Pulse

More information

EECS 120 Signals & Systems University of California, Berkeley: Fall 2005 Gastpar November 16, Solutions to Exam 2

EECS 120 Signals & Systems University of California, Berkeley: Fall 2005 Gastpar November 16, Solutions to Exam 2 EECS 0 Signals & Systems University of California, Berkeley: Fall 005 Gastpar November 6, 005 Solutions to Exam Last name First name SID You have hour and 45 minutes to omplete this exam. he exam is losed-book

More information

Small Scale Characterization of Underwater Acoustic Channels

Small Scale Characterization of Underwater Acoustic Channels Small Sale Charaterization of Underwater Aousti Channels Parastoo Qarabaqi Northeastern University qarabaqi@ee.neu.edu Milia Stojanovi Northeastern University millitsa@ee.neu.edu ABSTRACT Underwater aousti

More information

Wave Propagation through Random Media

Wave Propagation through Random Media Chapter 3. Wave Propagation through Random Media 3. Charateristis of Wave Behavior Sound propagation through random media is the entral part of this investigation. This hapter presents a frame of referene

More information

RESEARCH ON RANDOM FOURIER WAVE-NUMBER SPECTRUM OF FLUCTUATING WIND SPEED

RESEARCH ON RANDOM FOURIER WAVE-NUMBER SPECTRUM OF FLUCTUATING WIND SPEED The Seventh Asia-Paifi Conferene on Wind Engineering, November 8-1, 9, Taipei, Taiwan RESEARCH ON RANDOM FORIER WAVE-NMBER SPECTRM OF FLCTATING WIND SPEED Qi Yan 1, Jie Li 1 Ph D. andidate, Department

More information

Radiation processes and mechanisms in astrophysics 3. R Subrahmanyan Notes on ATA lectures at UWA, Perth 22 May 2009

Radiation processes and mechanisms in astrophysics 3. R Subrahmanyan Notes on ATA lectures at UWA, Perth 22 May 2009 Radiation proesses and mehanisms in astrophysis R Subrahmanyan Notes on ATA letures at UWA, Perth May 009 Synhrotron radiation - 1 Synhrotron radiation emerges from eletrons moving with relativisti speeds

More information

that efficiently utilizes the total available channel bandwidth W.

that efficiently utilizes the total available channel bandwidth W. Signal Design for Band-Limited Channels Wireless Information Transmission System Lab. Institute of Communications Engineering g National Sun Yat-sen University Introduction We consider the problem of signal

More information

ELG 5372 Error Control Coding. Claude D Amours Lecture 2: Introduction to Coding 2

ELG 5372 Error Control Coding. Claude D Amours Lecture 2: Introduction to Coding 2 ELG 5372 Error Control Coding Claude D Amours Leture 2: Introdution to Coding 2 Deoding Tehniques Hard Deision Reeiver detets data before deoding Soft Deision Reeiver quantizes reeived data and deoder

More information

EE5713 : Advanced Digital Communications

EE5713 : Advanced Digital Communications EE5713 : Advanced Digital Communications Week 12, 13: Inter Symbol Interference (ISI) Nyquist Criteria for ISI Pulse Shaping and Raised-Cosine Filter Eye Pattern Equalization (On Board) 20-May-15 Muhammad

More information

Analog Electronics 2 ICS905

Analog Electronics 2 ICS905 Analog Electronics 2 ICS905 G. Rodriguez-Guisantes Dépt. COMELEC http://perso.telecom-paristech.fr/ rodrigez/ens/cycle_master/ November 2016 2/ 67 Schedule Radio channel characteristics ; Analysis and

More information

ANALYSIS OF THE SEISMIC BEHAVIOR OF KEDDARA DAM USING STRONG MOTION RECORDS

ANALYSIS OF THE SEISMIC BEHAVIOR OF KEDDARA DAM USING STRONG MOTION RECORDS ANALYSIS OF THE SEISMIC BEHAVIOR OF KEDDARA DAM USING STRONG MOTION RECORDS S. Louadj, R. Bahar, E. Vinens, N. Laouami 4 Ph.D Student, Geomaterials and Environment Laboratory LGEA, University of Tizi-Ouzou,

More information

5 Analog carrier modulation with noise

5 Analog carrier modulation with noise 5 Analog carrier modulation with noise 5. Noisy receiver model Assume that the modulated signal x(t) is passed through an additive White Gaussian noise channel. A noisy receiver model is illustrated in

More information

PN Code Tracking Loops

PN Code Tracking Loops Wireless Information Transmission System Lab. PN Coe Traking Loops Institute of Communiations Engineering National Sun Yat-sen University Introution Coe synhronization is generally arrie out in two steps

More information

2016 Spring: The Final Exam of Digital Communications

2016 Spring: The Final Exam of Digital Communications 2016 Spring: The Final Exam of Digital Communications The total number of points is 131. 1. Image of Transmitter Transmitter L 1 θ v 1 As shown in the figure above, a car is receiving a signal from a remote

More information

Signal Processing Advances in Communications

Signal Processing Advances in Communications Signal Processing Advances in Communications Volume II: Trends in Singleand Multi-User Systems Edited by P. Stoica, G. Giannakis, Y. Hua, and L. Tong CONTENTS 4 TIME-VARYING FADING CHANNELS 1 4.1 Channel

More information

LECTURE 16 AND 17. Digital signaling on frequency selective fading channels. Notes Prepared by: Abhishek Sood

LECTURE 16 AND 17. Digital signaling on frequency selective fading channels. Notes Prepared by: Abhishek Sood ECE559:WIRELESS COMMUNICATION TECHNOLOGIES LECTURE 16 AND 17 Digital signaling on frequency selective fading channels 1 OUTLINE Notes Prepared by: Abhishek Sood In section 2 we discuss the receiver design

More information

Principles of Communications

Principles of Communications Principles of Communications Chapter V: Representation and Transmission of Baseband Digital Signal Yongchao Wang Email: ychwang@mail.xidian.edu.cn Xidian University State Key Lab. on ISN November 18, 2012

More information

EE401: Advanced Communication Theory

EE401: Advanced Communication Theory EE401: Advanced Communication Theory Professor A. Manikas Chair of Communications and Array Processing Imperial College London Introductory Concepts Prof. A. Manikas (Imperial College) EE.401: Introductory

More information

Computer Engineering 4TL4: Digital Signal Processing (Fall 2003) Solutions to Final Exam

Computer Engineering 4TL4: Digital Signal Processing (Fall 2003) Solutions to Final Exam Computer Engineering TL: Digital Signal Proessing (Fall 3) Solutions to Final Exam The step response ynof a ausal, stable LTI system is: n [ ] = [ yn ] un, [ ] where un [ ] is the unit step funtion a Find

More information

2.1 Basic Concepts Basic operations on signals Classication of signals

2.1 Basic Concepts Basic operations on signals Classication of signals Haberle³me Sistemlerine Giri³ (ELE 361) 9 Eylül 2017 TOBB Ekonomi ve Teknoloji Üniversitesi, Güz 2017-18 Dr. A. Melda Yüksel Turgut & Tolga Girici Lecture Notes Chapter 2 Signals and Linear Systems 2.1

More information

Outline. Propagation of Signals in Optical Fiber. Outline. Geometric Approach. Refraction. How do we use this?

Outline. Propagation of Signals in Optical Fiber. Outline. Geometric Approach. Refraction. How do we use this? Outline Propagation of Signals in Optial Fiber Geometri approah Wave theory approah Loss and Bandwidth Galen Sasaki University of Hawaii Galen Sasaki University of Hawaii Outline Geometri approah Wave

More information

Digital Communications

Digital Communications Digital Communications Chapter 9 Digital Communications Through Band-Limited Channels Po-Ning Chen, Professor Institute of Communications Engineering National Chiao-Tung University, Taiwan Digital Communications:

More information

Multiple Antennas. Mats Bengtsson, Björn Ottersten. Channel characterization and modeling 1 September 8, Signal KTH Research Focus

Multiple Antennas. Mats Bengtsson, Björn Ottersten. Channel characterization and modeling 1 September 8, Signal KTH Research Focus Multiple Antennas Channel Characterization and Modeling Mats Bengtsson, Björn Ottersten Channel characterization and modeling 1 September 8, 2005 Signal Processing @ KTH Research Focus Channel modeling

More information

EE303: Communication Systems

EE303: Communication Systems EE303: Communication Systems Professor A. Manikas Chair of Communications and Array Processing Imperial College London Introductory Concepts Prof. A. Manikas (Imperial College) EE303: Introductory Concepts

More information

Fading Statistical description of the wireless channel

Fading Statistical description of the wireless channel Channel Modelling ETIM10 Lecture no: 3 Fading Statistical description of the wireless channel Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se

More information

This examination consists of 11 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS

This examination consists of 11 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS THE UNIVERSITY OF BRITISH COLUMBIA Department of Electrical and Computer Engineering EECE 564 Detection and Estimation of Signals in Noise Final Examination 6 December 2006 This examination consists of

More information

s o (t) = S(f)H(f; t)e j2πft df,

s o (t) = S(f)H(f; t)e j2πft df, Sample Problems for Midterm. The sample problems for the fourth and fifth quizzes as well as Example on Slide 8-37 and Example on Slides 8-39 4) will also be a key part of the second midterm.. For a causal)

More information

Instytut Fizyki Doświadczalnej Wydział Matematyki, Fizyki i Informatyki UNIWERSYTET GDAŃSKI

Instytut Fizyki Doświadczalnej Wydział Matematyki, Fizyki i Informatyki UNIWERSYTET GDAŃSKI Instytut Fizyki Doświadzalnej Wydział Matematyki, Fizyki i Informatyki UNIWERSYTET GDAŃSKI I. Bakground theory. 1. Laser doppler anemometry LDA (Doppler model): a) LDA priniples; b) single and multi-hannel

More information

Channel model. Free space propagation

Channel model. Free space propagation //06 Channel model Free spae rado propagaton Terrestral propagaton - refleton, dffraton, satterng arge-sale fadng Empral models Small-sale fadng Nose and nterferene Wreless Systems 06 Free spae propagaton

More information

7 The Waveform Channel

7 The Waveform Channel 7 The Waveform Channel The waveform transmitted by the digital demodulator will be corrupted by the channel before it reaches the digital demodulator in the receiver. One important part of the channel

More information

EE4061 Communication Systems

EE4061 Communication Systems EE4061 Communication Systems Week 11 Intersymbol Interference Nyquist Pulse Shaping 0 c 2015, Georgia Institute of Technology (lect10 1) Intersymbol Interference (ISI) Tx filter channel Rx filter a δ(t-nt)

More information

INTERFEROMETRIC TECHNIQUE FOR CHROMATIC DISPERSION MEASUREMENTS

INTERFEROMETRIC TECHNIQUE FOR CHROMATIC DISPERSION MEASUREMENTS 007 Poznańskie Warsztaty Telekomunikayne Poznań 6-7 grudnia 007 POZNAN POZNAN UNIVERSITY UNIVERSITYOF OF TECHNOLOGY ACADEMIC ACADEMIC JOURNALS JOURNALS No 54 Eletrial Engineering 007 Jan LAMPERSKI* INTERFEROMETRIC

More information

Signals and Spectra (1A) Young Won Lim 11/26/12

Signals and Spectra (1A) Young Won Lim 11/26/12 Signals and Spectra (A) Copyright (c) 202 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version.2 or any later

More information

UCSD ECE153 Handout #40 Prof. Young-Han Kim Thursday, May 29, Homework Set #8 Due: Thursday, June 5, 2011

UCSD ECE153 Handout #40 Prof. Young-Han Kim Thursday, May 29, Homework Set #8 Due: Thursday, June 5, 2011 UCSD ECE53 Handout #40 Prof. Young-Han Kim Thursday, May 9, 04 Homework Set #8 Due: Thursday, June 5, 0. Discrete-time Wiener process. Let Z n, n 0 be a discrete time white Gaussian noise (WGN) process,

More information

Capacity-achieving Input Covariance for Correlated Multi-Antenna Channels

Capacity-achieving Input Covariance for Correlated Multi-Antenna Channels Capaity-ahieving Input Covariane for Correlated Multi-Antenna Channels Antonia M. Tulino Universita Degli Studi di Napoli Federio II 85 Napoli, Italy atulino@ee.prineton.edu Angel Lozano Bell Labs (Luent

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.286: The Early Universe December 21, 2013 Prof. Alan Guth QUIZ 3 SOLUTIONS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.286: The Early Universe December 21, 2013 Prof. Alan Guth QUIZ 3 SOLUTIONS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physis Department Physis 8.286: The Early Universe Deember 2, 203 Prof. Alan Guth QUIZ 3 SOLUTIONS Quiz Date: Deember 5, 203 PROBLEM : DID YOU DO THE READING? (35

More information

II - Baseband pulse transmission

II - Baseband pulse transmission II - Baseband pulse transmission 1 Introduction We discuss how to transmit digital data symbols, which have to be converted into material form before they are sent or stored. In the sequel, we associate

More information

Lecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1

Lecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1 Fading : Theoretical Foundations of Wireless Communications 1 Thursday, May 3, 2018 9:30-12:00, Conference Room SIP 1 Textbook: D. Tse and P. Viswanath, Fundamentals of Wireless Communication 1 / 23 Overview

More information

Communications and Signal Processing Spring 2017 MSE Exam

Communications and Signal Processing Spring 2017 MSE Exam Communications and Signal Processing Spring 2017 MSE Exam Please obtain your Test ID from the following table. You must write your Test ID and name on each of the pages of this exam. A page with missing

More information

Lecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1. Overview. CommTh/EES/KTH

Lecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1. Overview. CommTh/EES/KTH : Theoretical Foundations of Wireless Communications 1 Wednesday, May 11, 2016 9:00-12:00, Conference Room SIP 1 Textbook: D. Tse and P. Viswanath, Fundamentals of Wireless Communication 1 / 1 Overview

More information

1.17 : Consider a continuous-time system with input x(t) and output y(t) related by y(t) = x( sin(t)).

1.17 : Consider a continuous-time system with input x(t) and output y(t) related by y(t) = x( sin(t)). (Note: here are the solution, only showing you the approach to solve the problems. If you find some typos or calculation error, please post it on Piazza and let us know ).7 : Consider a continuous-time

More information

Parameter Estimation

Parameter Estimation 1 / 44 Parameter Estimation Saravanan Vijayakumaran sarva@ee.iitb.ac.in Department of Electrical Engineering Indian Institute of Technology Bombay October 25, 2012 Motivation System Model used to Derive

More information

Understanding Line-Edge Roughness Problems with Metrology. Chris Mack

Understanding Line-Edge Roughness Problems with Metrology. Chris Mack Understanding ine-edge Roughness Problems with Metrology Chris Mak www.lithoguru.om Outline Measuring line-edge roughness (ER) Any attempt to understand ER begins with data Soures of bias in ER measurement

More information

Random Processes Handout IV

Random Processes Handout IV RP-IV.1 Random Processes Handout IV CALCULATION OF MEAN AND AUTOCORRELATION FUNCTIONS FOR WSS RPS IN LTI SYSTEMS In the last classes, we calculated R Y (τ) using an intermediate function f(τ) (h h)(τ)

More information

Intercarrier and Intersymbol Interference Analysis of OFDM Systems on Time-Varying channels

Intercarrier and Intersymbol Interference Analysis of OFDM Systems on Time-Varying channels Intercarrier and Intersymbol Interference Analysis of OFDM Systems on Time-Varying channels Van Duc Nguyen, Hans-Peter Kuchenbecker University of Hannover, Institut für Allgemeine Nachrichtentechnik Appelstr.

More information

Weiyao Lin. Shanghai Jiao Tong University. Chapter 5: Digital Transmission through Baseband slchannels Textbook: Ch

Weiyao Lin. Shanghai Jiao Tong University. Chapter 5: Digital Transmission through Baseband slchannels Textbook: Ch Principles of Communications Weiyao Lin Shanghai Jiao Tong University Chapter 5: Digital Transmission through Baseband slchannels Textbook: Ch 10.1-10.5 2009/2010 Meixia Tao @ SJTU 1 Topics to be Covered

More information

Communication Theory Summary of Important Definitions and Results

Communication Theory Summary of Important Definitions and Results Signal and system theory Convolution of signals x(t) h(t) = y(t): Fourier Transform: Communication Theory Summary of Important Definitions and Results X(ω) = X(ω) = y(t) = X(ω) = j x(t) e jωt dt, 0 Properties

More information

Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequency Division Multiplexing

Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequency Division Multiplexing IEEE ICC 03 - Wireless Communiations Symposium Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequeny Division Multiplexing Boyu Li and Ender Ayanoglu Center for Pervasive

More information

On the Sensitivity of Noncoherent Capacity to the Channel Model

On the Sensitivity of Noncoherent Capacity to the Channel Model On the Sensitivity of Noncoherent Capacity to the Channel Model Giuseppe Durisi, Veniamin I. Morgenshtern, and Helmut Bölcskei Communication Technology Laboratory ETH Zurich, 8092 Zurich, Switzerland E-mail:

More information

Estimation of the Capacity of Multipath Infrared Channels

Estimation of the Capacity of Multipath Infrared Channels Estimation of the Capacity of Multipath Infrared Channels Jeffrey B. Carruthers Department of Electrical and Computer Engineering Boston University jbc@bu.edu Sachin Padma Department of Electrical and

More information

Analog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR

Analog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR Analog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR Anh uyen Le, Yijiang Nan, Le Chung ran 2, Xiaojing Huang, Y. Jay Guo, and Yiannis Vardaxoglou 3 University

More information

Subject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % (

Subject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % ( 16.50 Leture 0 Subjet: Introdution to Component Mathing and Off-Design Operation At this point it is well to reflet on whih of the many parameters we have introdued (like M, τ, τ t, ϑ t, f, et.) are free

More information

Maximum Likelihood Multipath Estimation in Comparison with Conventional Delay Lock Loops

Maximum Likelihood Multipath Estimation in Comparison with Conventional Delay Lock Loops Maximum Likelihood Multipath Estimation in Comparison with Conventional Delay Lok Loops Mihael Lentmaier and Bernhard Krah, German Aerospae Center (DLR) BIOGRAPY Mihael Lentmaier reeived the Dipl.-Ing.

More information

This examination consists of 10 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS

This examination consists of 10 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS THE UNIVERSITY OF BRITISH COLUMBIA Department of Electrical and Computer Engineering EECE 564 Detection and Estimation of Signals in Noise Final Examination 08 December 2009 This examination consists of

More information

Timbral, Scale, Pitch modifications

Timbral, Scale, Pitch modifications Introduction Timbral, Scale, Pitch modifications M2 Mathématiques / Vision / Apprentissage Audio signal analysis, indexing and transformation Page 1 / 40 Page 2 / 40 Modification of playback speed Modifications

More information

Example: Bipolar NRZ (non-return-to-zero) signaling

Example: Bipolar NRZ (non-return-to-zero) signaling Baseand Data Transmission Data are sent without using a carrier signal Example: Bipolar NRZ (non-return-to-zero signaling is represented y is represented y T A -A T : it duration is represented y BT. Passand

More information

PoS(ISCC 2017)047. Fast Acquisition for DS/FH Spread Spectrum Signals by Using Folded Sampling Digital Receiver

PoS(ISCC 2017)047. Fast Acquisition for DS/FH Spread Spectrum Signals by Using Folded Sampling Digital Receiver Fast Aquisition for DS/FH Spread Spetrum Signals by Using Folded Sampling Digital Reeiver Beijing Institute of Satellite Information Engineering Beijing, 100086, China E-mail:ziwen7189@aliyun.om Bo Yang

More information

Revision of Lecture 4

Revision of Lecture 4 Revision of Lecture 4 We have completed studying digital sources from information theory viewpoint We have learnt all fundamental principles for source coding, provided by information theory Practical

More information

Seismic dip estimation based on the two-dimensional Hilbert transform and its application in random noise attenuation a

Seismic dip estimation based on the two-dimensional Hilbert transform and its application in random noise attenuation a Seismi dip estimation based on the two-dimensional Hilbert transform and its appliation in random noise attenuation a a Published in Applied Geophysis, 1, 55-63 (Marh 015) Cai Liu, Changle Chen, Dian Wang,

More information

Phase Diffuser at the Transmitter for Lasercom Link: Effect of Partially Coherent Beam on the Bit-Error Rate.

Phase Diffuser at the Transmitter for Lasercom Link: Effect of Partially Coherent Beam on the Bit-Error Rate. Phase Diffuser at the Transmitter for Laserom Link: Effet of Partially Coherent Beam on the Bit-Error Rate. O. Korotkova* a, L. C. Andrews** a, R. L. Phillips*** b a Dept. of Mathematis, Univ. of Central

More information

Physiological blood flow always involves some degree

Physiological blood flow always involves some degree ieee transations on ultrasonis, ferroeletris, and frequeny ontrol, vol 48, no 3, may 21 737 A Thin Film Phantom for Blood Flow Simulation and Doppler Test Stephen MAleavey, Zaegyoo Hah, and Kevin Parker,

More information

Projects in Wireless Communication Lecture 1

Projects in Wireless Communication Lecture 1 Projects in Wireless Communication Lecture 1 Fredrik Tufvesson/Fredrik Rusek Department of Electrical and Information Technology Lund University, Sweden Lund, Sept 2018 Outline Introduction to the course

More information

Residual carrier frequency offset and symbol timing offset in narrow-band OFDM modulation

Residual carrier frequency offset and symbol timing offset in narrow-band OFDM modulation Residual carrier frequency offset and symbol timing offset in narrow-band OFDM modulation Master s thesis iko Ohukainen 2264750 Department of Mathematical Sciences University of Oulu Spring 2017 Contents

More information

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS

NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS page 1 of 5 (+ appendix) NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS Contact during examination: Name: Magne H. Johnsen Tel.: 73 59 26 78/930 25 534

More information

Operator-Theoretic Modeling for Radar in the Presence of Doppler

Operator-Theoretic Modeling for Radar in the Presence of Doppler Operator-Theoretic Modeling for Radar in the Presence of Doppler Doug 1, Stephen D. Howard 2, and Bill Moran 3 Workshop on Sensing and Analysis of High-Dimensional Data July 2011 1 Arizona State University,

More information

DESIGN FOR DIGITAL COMMUNICATION SYSTEMS VIA SAMPLED-DATA H CONTROL

DESIGN FOR DIGITAL COMMUNICATION SYSTEMS VIA SAMPLED-DATA H CONTROL DESIG FOR DIGITAL COMMUICATIO SYSTEMS VIA SAMPLED-DATA H COTROL M agahara 1 Y Yamamoto 2 Department of Applied Analysis and Complex Dynamial Systems Graduate Shool of Informatis Kyoto University Kyoto

More information

Emmanouel T. Michailidis Athanasios G. Kanatas

Emmanouel T. Michailidis Athanasios G. Kanatas Emmanouel T. Michailidis (emichail@unipi.gr) George Efthymoglou (gefthymo@unipi.gr) gr) Athanasios G. Kanatas (kanatas@unipi.gr) University of Piraeus Department of Digital Systems Wireless Communications

More information

Systems & Signals 315

Systems & Signals 315 1 / 15 Systems & Signals 315 Lecture 13: Signals and Linear Systems Dr. Herman A. Engelbrecht Stellenbosch University Dept. E & E Engineering 2 Maart 2009 Outline 2 / 15 1 Signal Transmission through a

More information

Copyright license. Exchanging Information with the Stars. The goal. Some challenges

Copyright license. Exchanging Information with the Stars. The goal. Some challenges Copyright license Exchanging Information with the Stars David G Messerschmitt Department of Electrical Engineering and Computer Sciences University of California at Berkeley messer@eecs.berkeley.edu Talk

More information

Review of Doppler Spread The response to exp[2πift] is ĥ(f, t) exp[2πift]. ĥ(f, t) = β j exp[ 2πifτ j (t)] = exp[2πid j t 2πifτ o j ]

Review of Doppler Spread The response to exp[2πift] is ĥ(f, t) exp[2πift]. ĥ(f, t) = β j exp[ 2πifτ j (t)] = exp[2πid j t 2πifτ o j ] Review of Doppler Spread The response to exp[2πift] is ĥ(f, t) exp[2πift]. ĥ(f, t) = β exp[ 2πifτ (t)] = exp[2πid t 2πifτ o ] Define D = max D min D ; The fading at f is ĥ(f, t) = 1 T coh = 2D exp[2πi(d

More information

CHAPTER 14. Based on the info about the scattering function we know that the multipath spread is T m =1ms, and the Doppler spread is B d =0.2 Hz.

CHAPTER 14. Based on the info about the scattering function we know that the multipath spread is T m =1ms, and the Doppler spread is B d =0.2 Hz. CHAPTER 4 Problem 4. : Based on the info about the scattering function we know that the multipath spread is T m =ms, and the Doppler spread is B d =. Hz. (a) (i) T m = 3 sec (ii) B d =. Hz (iii) ( t) c

More information

INTRO VIDEOS. LESSON 9.5: The Doppler Effect

INTRO VIDEOS. LESSON 9.5: The Doppler Effect DEVIL PHYSICS BADDEST CLASS ON CAMPUS IB PHYSICS INTRO VIDEOS Big Bang Theory of the Doppler Effet Doppler Effet LESSON 9.5: The Doppler Effet 1. Essential Idea: The Doppler Effet desribes the phenomenon

More information

2. Wireless Fading Channels

2. Wireless Fading Channels Fundamentals of Wireless Comm. Andreas Biri, D-ITET.07.7. Introduction Modulation (frequency shift to carrier frequency): - enables multiple (slightly shifted) simultaneous channels - better channel characteristics

More information

Direct-Sequence Spread-Spectrum

Direct-Sequence Spread-Spectrum Chapter 3 Direct-Sequence Spread-Spectrum In this chapter we consider direct-sequence spread-spectrum systems. Unlike frequency-hopping, a direct-sequence signal occupies the entire bandwidth continuously.

More information

On the Designs and Challenges of Practical Binary Dirty Paper Coding

On the Designs and Challenges of Practical Binary Dirty Paper Coding On the Designs and Challenges of Pratial Binary Dirty Paper Coding 04 / 08 / 2009 Gyu Bum Kyung and Chih-Chun Wang Center for Wireless Systems and Appliations Shool of Eletrial and Computer Eng. Outline

More information

Space-time duality in multiple antenna channels

Space-time duality in multiple antenna channels Spae-time duality in multiple antenna hannels Massimo Franeshetti, Kaushik Chakraborty 1 Abstrat The onept of information transmission in a multiple antenna hannel with sattering objets is studied from

More information

Simple Considerations on the Cosmological Redshift

Simple Considerations on the Cosmological Redshift Apeiron, Vol. 5, No. 3, July 8 35 Simple Considerations on the Cosmologial Redshift José Franiso Garía Juliá C/ Dr. Maro Mereniano, 65, 5. 465 Valenia (Spain) E-mail: jose.garia@dival.es Generally, the

More information

EE538 Final Exam Fall :20 pm -5:20 pm PHYS 223 Dec. 17, Cover Sheet

EE538 Final Exam Fall :20 pm -5:20 pm PHYS 223 Dec. 17, Cover Sheet EE538 Final Exam Fall 005 3:0 pm -5:0 pm PHYS 3 Dec. 17, 005 Cover Sheet Test Duration: 10 minutes. Open Book but Closed Notes. Calculators ARE allowed!! This test contains five problems. Each of the five

More information

Proceedings of Meetings on Acoustics

Proceedings of Meetings on Acoustics Proeedings of Meetings on Aoustis Volume 19, 2013 http://aoustialsoiety.org/ ICA 2013 Montreal Montreal, Canada 2-7 June 2013 Arhitetural Aoustis Session 4aAAa: Room Aoustis Computer Simulation I 4aAAa8.

More information

Simple FIR Digital Filters. Simple FIR Digital Filters. Simple Digital Filters. Simple FIR Digital Filters. Simple FIR Digital Filters

Simple FIR Digital Filters. Simple FIR Digital Filters. Simple Digital Filters. Simple FIR Digital Filters. Simple FIR Digital Filters Simple Digital Filters Later in the ourse we shall review various methods of designing frequeny-seletive filters satisfying presribed speifiations We now desribe several low-order FIR and IIR digital filters

More information

06/12/ rws/jMc- modif SuFY10 (MPF) - Textbook Section IX 1

06/12/ rws/jMc- modif SuFY10 (MPF) - Textbook Section IX 1 IV. Continuous-Time Signals & LTI Systems [p. 3] Analog signal definition [p. 4] Periodic signal [p. 5] One-sided signal [p. 6] Finite length signal [p. 7] Impulse function [p. 9] Sampling property [p.11]

More information