568 Subject Index. exponential distribution, 106, 108, 539 extension field, 545, 551 eye diagram, 193
|
|
- Mabel Brooks
- 7 years ago
- Views:
Transcription
1 SUBJECT INDEX additive system, 182 additive white Gaussian noise, 99, 103 aliasing, 52, 54 amplifier AM/AM characteristic, 332, 342 AM/PM characteristic, 332, 342 nonlinear, 344 two-box model, 344 amplifiers, 325 amplitude unbalance, 267 autocorrelation function, 83, 97 autocovariance, 83 automatic gain control, 336 autoregressive process, 109, 167 autoregressive-moving average process, 109 bandpass limiter, 326 Bartlett periodogram, 151 BCH bound, 509 BCH codes, 509 narrow-sense, 510 primitive, 510 Bello functions, 449 Berlekamp factorization, 552 Bessel filters, 227 bilinear transformation, 237 binary asymmetric channel, 442 binary erasure channel, 442 binary phase shift keying, 286 binary symmetric channel, 440 biphase signaling, 57 biquadratic form, 231 block codes, 506 block interleaver, 513 BPSK modulation, 286 BPSK receiver, 287 BPSK signals error performance of, 292 PSD of, 290 Butterworth filters, 44, 217 carrier recovery, 263 carrier synchronization, 356 causal system, 183 Chebyshev filters, 44, 218 circular convergence function, 542 clock rates, changing of, 393 code synchronization, 356 coefficient quantization, 491 commutative group, 543 complementary error function, 539 complex envelope, 63 constellation diagram, 192 controls, 29 convolution integral, 184 convolutional codes, 515 convolutional encoder,
2 568 Subject Index convolutional interleaver, 514 correlation, 96 correlation demodulator, 270 Costas loop, 426 covariance, 97 cumulative distribution function, 95 cyclic code, 507 cyclotomic coset, 511, 559 cyclotomic polynomial, 552 Daniell periodogram, 148 data skew, 269 data window, 153 decimation, 466, 480 delay estimation correlation-based, 385 phase-based, 388 delay modulation, 58 delay-doppler-spread function, 452 delay-power profile, 458 demodulator phase-locked, 424 denormalization of filter responses, 213 diffuse multipath channel, 459 digitization, 51 directed graph, 14 discrete Fourier transform, 119 properties of, 120 small-n implementations, 136 discrete memoryless channel, 440 discrete multipath channel, 463 discrete-time Fourier transform, 119 Doppler-delay-spread function, 453 downsampling, 466 elliptical filters, 222 envelope, 61, 104 error function, 100, 539 expected value, 79, 96 exponential distribution, 106, 108, 539 extension field, 545, 551 eye diagram, 193 fast convolution, 242 fast Fourier transform, 119 butterfly, 126 decimation-in-frequency, 131 decimation-in-time, 123 prime factor algorithm, 138 filter transformations, 210 filters bandpass, 214 bandstop, 216 Bessel, 227 Butterworth, 44, 217 Chebyshev, 44, 218 elliptical, 222 FIR, 208, 496 highpass, 217 IIR, 209, 501 finite field, 545 FIR filters, 208, 496 floating-point format double-precision, 493 single precision, 492 folding frequency, 54 Fourier series, 119 Fourier transform, 119 frame synchronization, 356 frequency shift keying, 299 frequency warping, 239 frequency-dependent modulation function, 453 FSK modulation, 299 Galois fields, 543 Gaussian distribution, 99, 538 Hamming distance, 523
3 Subject Index 569 Hamming window, 160 hard limiter, 326 Hermitian matrix, 168 homogeneous system, 182 IIR filters, 209, 234, 501 properties of, 236 impulse response, 44, 183 inphase modulation component, 62 input delay-spread function, 450 input Doppler-sread function, 452 interleaver block, 513 convolutional, 514 interpolation, 368, 466, 471 irreducible polynomial, 549 lag window, 155 large-signal swept response, 343 leakage, 153 Levinson recursion, 168 linear congruential sequence, 84 loop filter, 406 m-psk receiver, 293 m-psk signals error performance of, 298 PSD of, 295 macro, 4 magnitude response, 210 Manchester coding, 57 Marcum Q function, 542 mean, 79, 96 memoryless bandpass amplifier, 327 memoryless nonlinearity, 326 Miller coding, 58 minimal polynomial, 510, 559 minimum shift keying, 306 mixed congruential sequence, 84 mixers, 325 model graph, 25 modified periodogram, 147 modulator BPSK, 286 FSK, 303 MSK, 309 QPSK, 266 modulus, 84, 85 moments, 79 moving-average process, 109 MPSK modulation, 293 MSK modulation, 306 MSK signals error performance of, 314 PSD of, 312 multipath spread, 452 multiple phase shift keying, 293 multiplicative congruential sequence, 88 multirate simulation, 465 natural envelope, 61 noise power, 102 non-return to zero level, 55 null space algorithm, 555 numerical integration, 207, 229 Nyquist rate, 54, 469 offset QPSK, 282 OQPSK modulation, 282 output delay-spread function, 453 output Doppler-spread function, 451 parameter input, 4 parameters array, 5 enumerated, 7 input, 4, 5 propagation of, 17 signal-plotting, 8
4 570 Subject Index periodogram, 146, 148, 151, 167 phase detector, 406 phase unbalance, 267 phase-frequency detector, 412 phase-locked loop digital, 412 linear, 407 phase-locked loops, 406 power spectral density, 101, 104 primitive polynomial, 547 probability density function, 95 probability mass function, 79 pseudorandom sequence, 83, 90 pulse code modulation, 54 pulse, rectangular, 45 Q function, 539 QPSK modulation, 264 QPSK signals error performance of, 281 PSD of, 279 quadrature demodulation, 487 quadrature demodulator, 273 quadrature form, 61 quadrature modulation, 487 quadrature modulation component, 62 quadrature modulator, 269 quadrature phase shift keying, 264 quantization, 51 random number generator, 90, 102, 109 random process discrete-time, 82 uncorrelated, 83 wide-sense stationary, 83 random sequences, 78 random variable continuous, 94 Rayleigh distribution, 105, 540 Remez exchange, 471, 496 reports, 30 Rice distribution, 541 root mean square value, 81 sample point, 78 sample spectrum, 146 sampling, 51, 53 saturating-signal response, 344 Schuster periodogram, 146 signal advance models, 360 signal delay models, 357 signal quantization, 495 signals implementation, 9 management system, 13, 20 registration of, 26 subordinate, 9 small-signal swept response, 343 spectral image, 54 squaring loop, 424 standard deviation, 81, 96 startup tail, 84 step response, 44, 183 symbol synchronization, 356 synchronization recovery, 406 system graph, 28 time-frequency duality, 452 Toeplitz matrix, 168 tone generators, 49, 51 transfer function, 183, 186 transposition theorem, 497 transversal filter, 496 traveling-wave tube amplifier, 208, 242, 335 triangular window, 154 uncorrelated scattering, 456
5 Subject Index 571 uniform distribution, 95, 108, 538 uniform sampling theorem, 53 unit impulse, 44 unit step, 44 upsampling, 467 variance, 80, 96 Viterbi decoding, 519 soft decisions, 525 voltage-controlled oscillator, 304, 406 vonn Hann window, 157 Web site, Prentice Hall, 3 Welch periodogram, 167 wide-sense stationarity, 455 wideband-modulated response, 344 windowing, 153 WSSUS channel, 457 Yule-Walker equations, 168
Lezione 6 Communications Blockset
Corso di Tecniche CAD per le Telecomunicazioni A.A. 2007-2008 Lezione 6 Communications Blockset Ing. Marco GALEAZZI 1 What Is Communications Blockset? Communications Blockset extends Simulink with a comprehensive
More informationAdvanced Signal Processing and Digital Noise Reduction
Advanced Signal Processing and Digital Noise Reduction Saeed V. Vaseghi Queen's University of Belfast UK WILEY HTEUBNER A Partnership between John Wiley & Sons and B. G. Teubner Publishers Chichester New
More informationTime series analysis Matlab tutorial. Joachim Gross
Time series analysis Matlab tutorial Joachim Gross Outline Terminology Sampling theorem Plotting Baseline correction Detrending Smoothing Filtering Decimation Remarks Focus on practical aspects, exercises,
More informationProbability and Random Variables. Generation of random variables (r.v.)
Probability and Random Variables Method for generating random variables with a specified probability distribution function. Gaussian And Markov Processes Characterization of Stationary Random Process Linearly
More informationPrinciples of Digital Communication
Principles of Digital Communication Robert G. Gallager January 5, 2008 ii Preface: introduction and objectives The digital communication industry is an enormous and rapidly growing industry, roughly comparable
More informationDigital Communications
Digital Communications Fourth Edition JOHN G. PROAKIS Department of Electrical and Computer Engineering Northeastern University Boston Burr Ridge, IL Dubuque, IA Madison, Wl New York San Francisco St.
More informationAppendix D Digital Modulation and GMSK
D1 Appendix D Digital Modulation and GMSK A brief introduction to digital modulation schemes is given, showing the logical development of GMSK from simpler schemes. GMSK is of interest since it is used
More informationCourse Curriculum for Master Degree in Electrical Engineering/Wireless Communications
Course Curriculum for Master Degree in Electrical Engineering/Wireless Communications The Master Degree in Electrical Engineering/Wireless Communications, is awarded by the Faculty of Graduate Studies
More informationPHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUMBER OF REFERENCE SYMBOLS
PHASE ESTIMATION ALGORITHM FOR FREQUENCY HOPPED BINARY PSK AND DPSK WAVEFORMS WITH SMALL NUM OF REFERENCE SYMBOLS Benjamin R. Wiederholt The MITRE Corporation Bedford, MA and Mario A. Blanco The MITRE
More informationPerformance of Quasi-Constant Envelope Phase Modulation through Nonlinear Radio Channels
Performance of Quasi-Constant Envelope Phase Modulation through Nonlinear Radio Channels Qi Lu, Qingchong Liu Electrical and Systems Engineering Department Oakland University Rochester, MI 48309 USA E-mail:
More informationSGN-1158 Introduction to Signal Processing Test. Solutions
SGN-1158 Introduction to Signal Processing Test. Solutions 1. Convolve the function ( ) with itself and show that the Fourier transform of the result is the square of the Fourier transform of ( ). (Hints:
More informationMODULATION Systems (part 1)
Technologies and Services on Digital Broadcasting (8) MODULATION Systems (part ) "Technologies and Services of Digital Broadcasting" (in Japanese, ISBN4-339-62-2) is published by CORONA publishing co.,
More informationDigital Modulation. David Tipper. Department of Information Science and Telecommunications University of Pittsburgh. Typical Communication System
Digital Modulation David Tipper Associate Professor Department of Information Science and Telecommunications University of Pittsburgh http://www.tele.pitt.edu/tipper.html Typical Communication System Source
More informationRADIO FREQUENCY INTERFERENCE AND CAPACITY REDUCTION IN DSL
RADIO FREQUENCY INTERFERENCE AND CAPACITY REDUCTION IN DSL Padmabala Venugopal, Michael J. Carter*, Scott A. Valcourt, InterOperability Laboratory, Technology Drive Suite, University of New Hampshire,
More informationDepartment of Electrical and Computer Engineering Ben-Gurion University of the Negev. LAB 1 - Introduction to USRP
Department of Electrical and Computer Engineering Ben-Gurion University of the Negev LAB 1 - Introduction to USRP - 1-1 Introduction In this lab you will use software reconfigurable RF hardware from National
More informationSECTION 6 DIGITAL FILTERS
SECTION 6 DIGITAL FILTERS Finite Impulse Response (FIR) Filters Infinite Impulse Response (IIR) Filters Multirate Filters Adaptive Filters 6.a 6.b SECTION 6 DIGITAL FILTERS Walt Kester INTRODUCTION Digital
More informationUnivariate and Multivariate Methods PEARSON. Addison Wesley
Time Series Analysis Univariate and Multivariate Methods SECOND EDITION William W. S. Wei Department of Statistics The Fox School of Business and Management Temple University PEARSON Addison Wesley Boston
More informationRalph L. Brooker, Member, IEEE. Andrew Corporation, Alexandria, VA 22314, USA
Spectral-Null Pulse Waveform For Characterizing Gain and Phase Distortion in Devices with Uncorrelated Frequency Translation or Limited CW Power Capability Ralph L. Brooker, Member, IEEE Andrew Corporation,
More informationHow To Encode Data From A Signal To A Signal (Wired) To A Bitcode (Wired Or Coaxial)
Physical Layer Part 2 Data Encoding Techniques Networks: Data Encoding 1 Analog and Digital Transmissions Figure 2-23.The use of both analog and digital transmissions for a computer to computer call. Conversion
More informationVector Signal Analyzer FSQ-K70
Product brochure Version 02.00 Vector Signal Analyzer FSQ-K70 July 2004 Universal demodulation, analysis and documentation of digital radio signals For all major mobile radio communication standards: GSM
More informationAdjacent Channel Interference. Adaptive Modulation and Coding. Advanced Mobile Phone System. Automatic Repeat Request. Additive White Gaussian Noise
Apéndice A. Lista de s ACI AM AMC AMPS ARQ AWGN BB BER BPSK BPF BW CCK CD CDMA CDPD COFDM CRL CSI CWTS Adjacent Channel Interference Amplitude Modulation Adaptive Modulation and Coding Advanced Mobile
More informationShort-time FFT, Multi-taper analysis & Filtering in SPM12
Short-time FFT, Multi-taper analysis & Filtering in SPM12 Computational Psychiatry Seminar, FS 2015 Daniel Renz, Translational Neuromodeling Unit, ETHZ & UZH 20.03.2015 Overview Refresher Short-time Fourier
More informationAgilent Creating Multi-tone Signals With the N7509A Waveform Generation Toolbox. Application Note
Agilent Creating Multi-tone Signals With the N7509A Waveform Generation Toolbox Application Note Introduction Of all the signal engines in the N7509A, the most complex is the multi-tone engine. This application
More informationImplementation of Digital Signal Processing: Some Background on GFSK Modulation
Implementation of Digital Signal Processing: Some Background on GFSK Modulation Sabih H. Gerez University of Twente, Department of Electrical Engineering s.h.gerez@utwente.nl Version 4 (February 7, 2013)
More informationQAM Demodulation. Performance Conclusion. o o o o o. (Nyquist shaping, Clock & Carrier Recovery, AGC, Adaptive Equaliser) o o. Wireless Communications
0 QAM Demodulation o o o o o Application area What is QAM? What are QAM Demodulation Functions? General block diagram of QAM demodulator Explanation of the main function (Nyquist shaping, Clock & Carrier
More informationNRZ Bandwidth - HF Cutoff vs. SNR
Application Note: HFAN-09.0. Rev.2; 04/08 NRZ Bandwidth - HF Cutoff vs. SNR Functional Diagrams Pin Configurations appear at end of data sheet. Functional Diagrams continued at end of data sheet. UCSP
More informationContents. A Error probability for PAM Signals in AWGN 17. B Error probability for PSK Signals in AWGN 18
Contents 5 Signal Constellations 3 5.1 Pulse-amplitude Modulation (PAM).................. 3 5.1.1 Performance of PAM in Additive White Gaussian Noise... 4 5.2 Phase-shift Keying............................
More informationDesign of Efficient Digital Interpolation Filters for Integer Upsampling. Daniel B. Turek
Design of Efficient Digital Interpolation Filters for Integer Upsampling by Daniel B. Turek Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements
More informationSampling Theorem Notes. Recall: That a time sampled signal is like taking a snap shot or picture of signal periodically.
Sampling Theorem We will show that a band limited signal can be reconstructed exactly from its discrete time samples. Recall: That a time sampled signal is like taking a snap shot or picture of signal
More informationHow To Understand The Theory Of Time Division Duplexing
Multiple Access Techniques Dr. Francis LAU Dr. Francis CM Lau, Associate Professor, EIE, PolyU Content Introduction Frequency Division Multiple Access Time Division Multiple Access Code Division Multiple
More informationA WEB BASED TRAINING MODULE FOR TEACHING DIGITAL COMMUNICATIONS
A WEB BASED TRAINING MODULE FOR TEACHING DIGITAL COMMUNICATIONS Ali Kara 1, Cihangir Erdem 1, Mehmet Efe Ozbek 1, Nergiz Cagiltay 2, Elif Aydin 1 (1) Department of Electrical and Electronics Engineering,
More informationCDMA TECHNOLOGY. Brief Working of CDMA
CDMA TECHNOLOGY History of CDMA The Cellular Challenge The world's first cellular networks were introduced in the early 1980s, using analog radio transmission technologies such as AMPS (Advanced Mobile
More informationTime and Frequency Domain Equalization
Time and Frequency Domain Equalization Presented By: Khaled Shawky Hassan Under Supervision of: Prof. Werner Henkel Introduction to Equalization Non-ideal analog-media such as telephone cables and radio
More informationNon-Data Aided Carrier Offset Compensation for SDR Implementation
Non-Data Aided Carrier Offset Compensation for SDR Implementation Anders Riis Jensen 1, Niels Terp Kjeldgaard Jørgensen 1 Kim Laugesen 1, Yannick Le Moullec 1,2 1 Department of Electronic Systems, 2 Center
More informationFUNDAMENTALS of INFORMATION THEORY and CODING DESIGN
DISCRETE "ICS AND ITS APPLICATIONS Series Editor KENNETH H. ROSEN FUNDAMENTALS of INFORMATION THEORY and CODING DESIGN Roberto Togneri Christopher J.S. desilva CHAPMAN & HALL/CRC A CRC Press Company Boca
More information300024 - FC - Fundamentals of Communications
Coordinating unit: Teaching unit: Academic year: Degree: ECTS credits: 2016 300 - EETAC - Castelldefels School of Telecommunications and Aerospace Engineering 739 - TSC - Department of Signal Theory and
More informationAgilent Digital Modulation in Communications Systems An Introduction. Application Note 1298
Agilent Digital Modulation in Communications Systems An Introduction Application Note 1298 Introduction This application note introduces the concepts of digital modulation used in many communications systems
More informationVoice---is analog in character and moves in the form of waves. 3-important wave-characteristics:
Voice Transmission --Basic Concepts-- Voice---is analog in character and moves in the form of waves. 3-important wave-characteristics: Amplitude Frequency Phase Voice Digitization in the POTS Traditional
More informationClutter Filter Design for Ultrasound Color Flow Imaging
Clutter Filter Design for Ultrasound Color Flow Imaging by Steinar Bjærum (Corresponding author) Department of Physiology and Biomedical Engineering Norwegian University of Science and Technology Trondheim,
More information(Refer Slide Time: 01:11-01:27)
Digital Signal Processing Prof. S. C. Dutta Roy Department of Electrical Engineering Indian Institute of Technology, Delhi Lecture - 6 Digital systems (contd.); inverse systems, stability, FIR and IIR,
More informationAdaptive Equalization of binary encoded signals Using LMS Algorithm
SSRG International Journal of Electronics and Communication Engineering (SSRG-IJECE) volume issue7 Sep Adaptive Equalization of binary encoded signals Using LMS Algorithm Dr.K.Nagi Reddy Professor of ECE,NBKR
More informationRF Measurements Using a Modular Digitizer
RF Measurements Using a Modular Digitizer Modern modular digitizers, like the Spectrum M4i series PCIe digitizers, offer greater bandwidth and higher resolution at any given bandwidth than ever before.
More informationLoop Bandwidth and Clock Data Recovery (CDR) in Oscilloscope Measurements. Application Note 1304-6
Loop Bandwidth and Clock Data Recovery (CDR) in Oscilloscope Measurements Application Note 1304-6 Abstract Time domain measurements are only as accurate as the trigger signal used to acquire them. Often
More informationSolutions to Exam in Speech Signal Processing EN2300
Solutions to Exam in Speech Signal Processing EN23 Date: Thursday, Dec 2, 8: 3: Place: Allowed: Grades: Language: Solutions: Q34, Q36 Beta Math Handbook (or corresponding), calculator with empty memory.
More informationSelection of data modulation techniques in spread spectrum systems using modified processing gain definition
HAIT Journal of Science and Engineering, Series: Engineering 2 (1), pp. xxx-xxx Copyright c 2004 Holon Academic Institute of Technology Selection of data modulation techniques in spread spectrum systems
More informationVoice services over Adaptive Multi-user Orthogonal Sub channels An Insight
TEC Voice services over Adaptive Multi-user Orthogonal Sub channels An Insight HP 4/15/2013 A powerful software upgrade leverages quaternary modulation and MIMO techniques to improve network efficiency
More informationSimulation of Wireless Fading Channels
Blekinge Institute of Technology Research Report No 2003:02 Simulation of Wireless Fading Channels Ronnie Gustafsson Abbas Mohammed Department of Telecommunications and Signal Processing Blekinge Institute
More informationPublic Switched Telephone System
Public Switched Telephone System Structure of the Telephone System The Local Loop: Modems, ADSL Structure of the Telephone System (a) Fully-interconnected network. (b) Centralized switch. (c) Two-level
More informationChap#5 (Data communication)
Chap#5 (Data communication) Q#1: Define analog transmission. Normally, analog transmission refers to the transmission of analog signals using a band-pass channel. Baseband digital or analog signals are
More informationfor Communication Systems Protection EMI CD-ROM INCLUDED
Krešimir Malarić EMI Protection for Communication Systems CD-ROM INCLUDED Contents Preface xiii CHAPTER 1 Communications Systems 1 1.1 Components of Communications Systems 1 1.2 Transmitter Systems 2 1.2.1
More information5 Signal Design for Bandlimited Channels
225 5 Signal Design for Bandlimited Channels So far, we have not imposed any bandwidth constraints on the transmitted passband signal, or equivalently, on the transmitted baseband signal s b (t) I[k]g
More informationSatellite Telemetry, Tracking and Control Subsystems
Satellite Telemetry, Tracking and Control Subsystems Col John E. Keesee 1 Overview The telemetry, tracking and control subsystem provides vital communication to and from the spacecraft TT&C is the only
More informationEm bedded DSP : I ntroduction to Digital Filters
Embedded DSP : Introduction to Digital Filters 1 Em bedded DSP : I ntroduction to Digital Filters Digital filters are a important part of DSP. In fact their extraordinary performance is one of the keys
More information0HDVXULQJWKHHOHFWULFDOSHUIRUPDQFH FKDUDFWHULVWLFVRI5),)DQGPLFURZDYHVLJQDO SURFHVVLQJFRPSRQHQWV
0HDVXULQJWKHHOHFWULFDOSHUIRUPDQFH FKDUDFWHULVWLFVRI5),)DQGPLFURZDYHVLJQDO SURFHVVLQJFRPSRQHQWV The treatment given here is introductory, and will assist the reader who wishes to consult the standard texts
More informationWireless Communication and RF System Design Using MATLAB and Simulink Giorgia Zucchelli Technical Marketing RF & Mixed-Signal
Wireless Communication and RF System Design Using MATLAB and Simulink Giorgia Zucchelli Technical Marketing RF & Mixed-Signal 2013 The MathWorks, Inc. 1 Outline of Today s Presentation Introduction to
More informationIntroduction to IQ-demodulation of RF-data
Introduction to IQ-demodulation of RF-data by Johan Kirkhorn, IFBT, NTNU September 15, 1999 Table of Contents 1 INTRODUCTION...3 1.1 Abstract...3 1.2 Definitions/Abbreviations/Nomenclature...3 1.3 Referenced
More informationRevision of Lecture Eighteen
Revision of Lecture Eighteen Previous lecture has discussed equalisation using Viterbi algorithm: Note similarity with channel decoding using maximum likelihood sequence estimation principle It also discusses
More informationDigital Transmission of Analog Data: PCM and Delta Modulation
Digital Transmission of Analog Data: PCM and Delta Modulation Required reading: Garcia 3.3.2 and 3.3.3 CSE 323, Fall 200 Instructor: N. Vlajic Digital Transmission of Analog Data 2 Digitization process
More informationPerformance Improvement of DS-CDMA Wireless Communication Network with Convolutionally Encoded OQPSK Modulation Scheme
International Journal of Advances in Engineering & Technology, Mar 0. IJAET ISSN: 3-963 Performance Improvement of DS-CDMA Wireless Communication Networ with Convolutionally Encoded OQPSK Modulation Scheme
More informationLock-in amplifiers. A short tutorial by R. Scholten
Lock-in amplifiers A short tutorial by R. cholten Measuring something Common task: measure light intensity, e.g. absorption spectrum Need very low intensity to reduce broadening Noise becomes a problem
More informationPropagation Channel Emulator ECP_V3
Navigation simulators Propagation Channel Emulator ECP_V3 1 Product Description The ECP (Propagation Channel Emulator V3) synthesizes the principal phenomena of propagation occurring on RF signal links
More informationELECTRONIC FILTER DESIGN HANDBOOK
ELECTRONIC FILTER DESIGN HANDBOOK Arthur B.Williams Fred J.Taylor Fourth Edition McGFUW-HILL New York Chicago San Francisco Lisbon London Madrid Mexico City Milan New Delhi San Juan Seoul Singapore Sydney
More informationANALYZER BASICS WHAT IS AN FFT SPECTRUM ANALYZER? 2-1
WHAT IS AN FFT SPECTRUM ANALYZER? ANALYZER BASICS The SR760 FFT Spectrum Analyzer takes a time varying input signal, like you would see on an oscilloscope trace, and computes its frequency spectrum. Fourier's
More informationPYKC Jan-7-10. Lecture 1 Slide 1
Aims and Objectives E 2.5 Signals & Linear Systems Peter Cheung Department of Electrical & Electronic Engineering Imperial College London! By the end of the course, you would have understood: Basic signal
More informationDream DRM Receiver Documentation
Dream DRM Receiver Documentation Dream is a software implementation of a Digital Radio Mondiale (DRM) receiver. All what is needed to receive DRM transmissions is a PC with a sound card and a modified
More informationPart I: Frequency Offset Acquisition and Tracking Algorithms Mohamed K. Nezami Mnemonics Inc. 3900 Dow Rd, Melbourne, FL 32934
Part I: Frequency Offset Acquisition and Tracking Algorithms Mohamed K. Nezami Mnemonics Inc. 3900 Dow Rd, Melbourne, FL 32934 I. Introduction Wireless receivers process signals that bear information as
More informationSIGNAL PROCESSING & SIMULATION NEWSLETTER
1 of 10 1/25/2008 3:38 AM SIGNAL PROCESSING & SIMULATION NEWSLETTER Note: This is not a particularly interesting topic for anyone other than those who ar e involved in simulation. So if you have difficulty
More informationLecture 1: Introduction
Mobile Data Networks Lecturer: Victor O.K. Li EEE Department Room: CYC601D Tel.: 857 845 Email: vli@eee.hku.hk Course home page: http://www.eee.hku.hk/courses.msc/ 1 Lecture 1: Introduction Mobile data
More informationTime Series Analysis: Introduction to Signal Processing Concepts. Liam Kilmartin Discipline of Electrical & Electronic Engineering, NUI, Galway
Time Series Analysis: Introduction to Signal Processing Concepts Liam Kilmartin Discipline of Electrical & Electronic Engineering, NUI, Galway Aims of Course To introduce some of the basic concepts of
More informationBER Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel
Performance Analysis of SSB-QPSK over AWGN and Rayleigh Channel Rahul Taware ME Student EXTC Department, DJSCOE Vile-Parle (W) Mumbai 056 T. D Biradar Associate Professor EXTC Department, DJSCOE Vile-Parle
More information3.5.1 CORRELATION MODELS FOR FREQUENCY SELECTIVE FADING
Environment Spread Flat Rural.5 µs Urban 5 µs Hilly 2 µs Mall.3 µs Indoors.1 µs able 3.1: ypical delay spreads for various environments. If W > 1 τ ds, then the fading is said to be frequency selective,
More informationAppendix C GSM System and Modulation Description
C1 Appendix C GSM System and Modulation Description C1. Parameters included in the modelling In the modelling the number of mobiles and their positioning with respect to the wired device needs to be taken
More informationDigital Baseband Modulation
Digital Baseband Modulation Later Outline Baseband & Bandpass Waveforms Baseband & Bandpass Waveforms, Modulation A Communication System Dig. Baseband Modulators (Line Coders) Sequence of bits are modulated
More informationHD Radio FM Transmission System Specifications Rev. F August 24, 2011
HD Radio FM Transmission System Specifications Rev. F August 24, 2011 SY_SSS_1026s TRADEMARKS HD Radio and the HD, HD Radio, and Arc logos are proprietary trademarks of ibiquity Digital Corporation. ibiquity,
More informationLecture 3: Signaling and Clock Recovery. CSE 123: Computer Networks Stefan Savage
Lecture 3: Signaling and Clock Recovery CSE 123: Computer Networks Stefan Savage Last time Protocols and layering Application Presentation Session Transport Network Datalink Physical Application Transport
More information4 Digital Video Signal According to ITU-BT.R.601 (CCIR 601) 43
Table of Contents 1 Introduction 1 2 Analog Television 7 3 The MPEG Data Stream 11 3.1 The Packetized Elementary Stream (PES) 13 3.2 The MPEG-2 Transport Stream Packet.. 17 3.3 Information for the Receiver
More informationAnalysis/resynthesis with the short time Fourier transform
Analysis/resynthesis with the short time Fourier transform summer 2006 lecture on analysis, modeling and transformation of audio signals Axel Röbel Institute of communication science TU-Berlin IRCAM Analysis/Synthesis
More informationImplementation of the LMS Algorithm for Noise Cancellation on Speech Using the ARM LPC2378 Processor.
School of Mathematics and Systems Engineering Reports from MSI - Rapporter från MSI Implementation of the LMS Algorithm for Noise Cancellation on Speech Using the ARM LPC2378 Processor. Cesar Augusto Azurdia
More informationSoftware Review: ITSM 2000 Professional Version 6.0.
Lee, J. & Strazicich, M.C. (2002). Software Review: ITSM 2000 Professional Version 6.0. International Journal of Forecasting, 18(3): 455-459 (June 2002). Published by Elsevier (ISSN: 0169-2070). http://0-
More informationRECOMMENDATION ITU-R BO.786 *
Rec. ITU-R BO.786 RECOMMENDATION ITU-R BO.786 * MUSE ** system for HDTV broadcasting-satellite services (Question ITU-R /) (992) The ITU Radiocommunication Assembly, considering a) that the MUSE system
More informationTime Series Analysis
Time Series Analysis Autoregressive, MA and ARMA processes Andrés M. Alonso Carolina García-Martos Universidad Carlos III de Madrid Universidad Politécnica de Madrid June July, 212 Alonso and García-Martos
More informationOnline Filtering for Radar Detection of Meteors
1, Gustavo O. Alves 1, José M. Seixas 1, Fernando Marroquim 2, Cristina S. Vianna 2, Helio Takai 3 1 Signal Processing Laboratory, COPPE/Poli, Federal University of Rio de Janeiro, Brazil. 2 Physics Institute,
More informationSummary Nonstationary Time Series Multitude of Representations Possibilities from Applied Computational Harmonic Analysis Tests of Stationarity
Nonstationary Time Series, Priestley s Evolutionary Spectra and Wavelets Guy Nason, School of Mathematics, University of Bristol Summary Nonstationary Time Series Multitude of Representations Possibilities
More informationTHE IMPLEMENTATION OF A DTV RF ANALYSIS AND REGENERATION SYSTEM
THE IMPLEMENTATION OF A DTV RF ANALYSIS AND REGENERATION SYSTEM Tae-Hoon Kwon, Ha-Kyun Mok, Young-Woo Suh, and Young-Min Kim KBS(Korean Broadcasting System), Seoul, Korea ABSTRACT In this paper, we developed
More informationUnderstanding Digital Signal Processing. Third Edition
Understanding Digital Signal Processing Third Edition This page intentionally left blank Understanding Digital Signal Processing Third Edition Richard G. Lyons Upper Saddle River, NJ Boston Indianapolis
More informationITSM-R Reference Manual
ITSM-R Reference Manual George Weigt June 5, 2015 1 Contents 1 Introduction 3 1.1 Time series analysis in a nutshell............................... 3 1.2 White Noise Variance.....................................
More informationCODED SOQPSK-TG USING THE SOFT OUTPUT VITERBI ALGORITHM
CODED SOQPSK-TG USING THE SOFT OUTPUT VITERBI ALGORITHM Daniel Alam Department of Electrical Engineering & Computer Science University of Kansas Lawrence, KS 66045 danich@ku.edu Faculty Advisor: Erik Perrins
More informationBildverarbeitung und Mustererkennung Image Processing and Pattern Recognition
Bildverarbeitung und Mustererkennung Image Processing and Pattern Recognition 1. Image Pre-Processing - Pixel Brightness Transformation - Geometric Transformation - Image Denoising 1 1. Image Pre-Processing
More informationOptimum Frequency-Domain Partial Response Encoding in OFDM System
1064 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL 51, NO 7, JULY 2003 Optimum Frequency-Domain Partial Response Encoding in OFDM System Hua Zhang and Ye (Geoffrey) Li, Senior Member, IEEE Abstract Time variance
More informationTTT4110 Information and Signal Theory Solution to exam
Norwegian University of Science and Technology Department of Electronics and Telecommunications TTT4 Information and Signal Theory Solution to exam Problem I (a The frequency response is found by taking
More informationMobile Communications Chapter 2: Wireless Transmission
Mobile Communications Chapter 2: Wireless Transmission Frequencies Signals Antennas Signal propagation Multiplexing Spread spectrum Modulation Cellular systems Prof. Dr.-Ing. Jochen Schiller, http://www.jochenschiller.de/
More informationUniversity of Manchester School of Computer Science CS3282: Digital Communications '06 Section 9: Multi-level digital modulation & demodulation.
CS3282 Digital Comms 9.1 2 May 06 / BMGC University of Manchester School of Computer Science CS3282: Digital Communications '06 Section 9: Multi-level digital modulation & demodulation. 9.1. ntroduction:
More informationAnalog Filters. A common instrumentation filter application is the attenuation of high frequencies to avoid frequency aliasing in the sampled data.
Analog Filters Filters can be used to attenuate unwanted signals such as interference or noise or to isolate desired signals from unwanted. They use the frequency response of a measuring system to alter
More informationActive Vibration Isolation of an Unbalanced Machine Spindle
UCRL-CONF-206108 Active Vibration Isolation of an Unbalanced Machine Spindle D. J. Hopkins, P. Geraghty August 18, 2004 American Society of Precision Engineering Annual Conference Orlando, FL, United States
More informationISI Mitigation in Image Data for Wireless Wideband Communications Receivers using Adjustment of Estimated Flat Fading Errors
International Journal of Engineering and Management Research, Volume-3, Issue-3, June 2013 ISSN No.: 2250-0758 Pages: 24-29 www.ijemr.net ISI Mitigation in Image Data for Wireless Wideband Communications
More informationEnhancing the SNR of the Fiber Optic Rotation Sensor using the LMS Algorithm
1 Enhancing the SNR of the Fiber Optic Rotation Sensor using the LMS Algorithm Hani Mehrpouyan, Student Member, IEEE, Department of Electrical and Computer Engineering Queen s University, Kingston, Ontario,
More informationUSB 3.0 CDR Model White Paper Revision 0.5
USB 3.0 CDR Model White Paper Revision 0.5 January 15, 2009 INTELLECTUAL PROPERTY DISCLAIMER THIS WHITE PAPER IS PROVIDED TO YOU AS IS WITH NO WARRANTIES WHATSOEVER, INCLUDING ANY WARRANTY OF MERCHANTABILITY,
More informationAbstract. Cycle Domain Simulator for Phase-Locked Loops
Abstract Cycle Domain Simulator for Phase-Locked Loops Norman James December 1999 As computers become faster and more complex, clock synthesis becomes critical. Due to the relatively slower bus clocks
More informationby Anurag Pulincherry A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Master of Science
A Continuous Time Frequency Translating Delta Sigma Modulator by Anurag Pulincherry A THESIS submitted to Oregon State University in partial fulfillment of the requirements for the degree of Master of
More informationTime Series Analysis in WinIDAMS
Time Series Analysis in WinIDAMS P.S. Nagpaul, New Delhi, India April 2005 1 Introduction A time series is a sequence of observations, which are ordered in time (or space). In electrical engineering literature,
More information