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Problem Based Learning In Communication Systems Using Matlab And Simulink

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Problem Based Learning In Communication Systems Using Matlab And Simulink

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Author : Kwonhue Choi
language : en
Publisher: John Wiley & Sons
Release Date : 2016-02-29

Problem Based Learning In Communication Systems Using Matlab And Simulink written by Kwonhue Choi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-29 with Technology & Engineering categories.

Designed to help teach and understand communication systems using a classroom-tested, active learning approach. Discusses communication concepts and algorithms, which are explained using simulation projects, accompanied by MATLAB and Simulink Provides step-by-step code exercises and instructions to implement execution sequences Includes a companion website that has MATLAB and Simulink model samples and templates (password: matlab)

Problem Based Learning In Communication Systems Using Matlab And Simulink

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Author : Jesus Jean
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-05-16

Problem Based Learning In Communication Systems Using Matlab And Simulink written by Jesus Jean and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-16 with categories.

This book covers the basic concepts of signals, and analog and digital communications, to more complex simulations in communication systems. Problem-Based Learning in Communication Systems Using MATLAB and Simulink begins by introducing MATLAB and Simulink to prepare readers who are unfamiliar with these environments in order to tackle projects and exercises included in this book. Discussions on simulation of signals, filter design, sampling and reconstruction, and analog communications are covered next. The book concludes by covering advanced topics such as Viterbi decoding, OFDM and MIMO. In addition, this book contains examples of how to convert waveforms, constructed in simulation, into electric signals. It also includes problems illustrating how to complete actual wireless communications in the band near ultrasonic frequencies.

Problem Based Learning In Communication Systems Using Matlab And Simulink

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Author : Elliott Edling
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-05-03

Problem Based Learning In Communication Systems Using Matlab And Simulink written by Elliott Edling and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-03 with categories.

Problem Based Learning In Communication Systems Using Matlab And Simulink

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language : en
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Problem Based Learning In Communication Systems Using Matlab And Simulink written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Modeling Of Digital Communication Systems Using Simulink

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Author : Arthur A. Giordano
language : en
Publisher: John Wiley & Sons
Release Date : 2015-03-31

Modeling Of Digital Communication Systems Using Simulink written by Arthur A. Giordano and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-31 with Technology & Engineering categories.

A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless Communications Modeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK® is organized in two parts. The first addresses Simulink® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling Includes access to useable SIMULINK® simulations online All models in the text have been updated to R2018a; only problem sets require updating to the latest release by the user Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems UsingSIMULINK® is a great resource for both practicing engineers and students with MATLAB experience.

Digital Communication Systems Using Matlab And Simulink

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Author : Dennis Silage
language : en
Publisher: Bookstand Pub
Release Date : 2009

Digital Communication Systems Using Matlab And Simulink written by Dennis Silage and has been published by Bookstand Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.

Digital Communication using MATLAB and Simulink is intended for a broad audience. For the student taking a traditional course, the text provides simulations of the MATLAB and Simulink systems, and the opportunity to go beyond the lecture or laboratory and develop investigations and projects. For the professional, the text facilitates an expansive review of and experience with the tenets of digital communication systems.

Contemporary Communication Systems Using Matlab

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Author : John G. Proakis
language : en
Publisher: CL Engineering
Release Date : 2000

Contemporary Communication Systems Using Matlab written by John G. Proakis and has been published by CL Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.

This supplement to any standard communication systems text is one of the first books to successfully integrate the use of MATLAB in the study of communication systems concepts and problems. It has been developed for instructors and students who wish to make use of MATLAB as an integral part of their study. The former will find the means by which to use MATLAB as a powerful tool to motivate students and illustrate essential theory without having to customize the applications themselves; the latter will find relevant problems quickly and easily. The book includes numerous MATLAB-based simulations and examples of communication systems, while providing a good balance of theory and hands-on computer experience. This Updated Printing revises the book and MATLAB files (available for downloading from the Brooks/Cole Bookware Companion Resource Center Web Site) to MATLAB V5.

Optical Fiber Communication Systems With Matlab And Simulink Models Second Edition

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Author : Le Nguyen Binh
language : en
Publisher: CRC Press
Release Date : 2014-12-01

Optical Fiber Communication Systems With Matlab And Simulink Models Second Edition written by Le Nguyen Binh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-01 with Technology & Engineering categories.

Carefully structured to instill practical knowledge of fundamental issues, Optical Fiber Communication Systems with MATLAB® and Simulink® Models describes the modeling of optically amplified fiber communications systems using MATLAB® and Simulink®. This lecture-based book focuses on concepts and interpretation, mathematical procedures, and engineering applications, shedding light on device behavior and dynamics through computer modeling. Supplying a deeper understanding of the current and future state of optical systems and networks, this Second Edition: Reflects the latest developments in optical fiber communications technology Includes new and updated case studies, examples, end-of-chapter problems, and MATLAB® and Simulink® models Emphasizes DSP-based coherent reception techniques essential to advancement in short- and long-term optical transmission networks Optical Fiber Communication Systems with MATLAB® and Simulink® Models, Second Edition is intended for use in university and professional training courses in the specialized field of optical communications. This text should also appeal to students of engineering and science who have already taken courses in electromagnetic theory, signal processing, and digital communications, as well as to optical engineers, designers, and practitioners in industry.

Matlab Simulink For Digital Communication

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Author : Won Y. Yang
language : en
Publisher: Won Y. Yang
Release Date : 2018-03-02

Matlab Simulink For Digital Communication written by Won Y. Yang and has been published by Won Y. Yang this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-02 with Antiques & Collectibles categories.

Chapter 1: Fourier Analysis 1 1.1 CONTINUOUS-TIME FOURIER SERIES (CTFS)................................................................... 2 1.2 PROPERTIES OF CTFS............................................................................................................... 6 1.2.1 Time-Shifting Property....................................................................................................... 6 1.2.2 Frequency-Shifting Property ............................................................................................ 6 1.2.3 Modulation Property......................................................................................................... 6 1.3 CONTINUOUS-TIME FOURIER TRANSFORM (CTFT)....................................................... 7 1.4 PROPERTIES OF CTFT............................................................................................................. 13 1.4.1 Linearity............................................................................................................................ 13 1.4.2 Conjugate Symmetry........................................................................................................ 13 1.4.3 Real Translation (Time Shifting) and Complex Translation (Frequency Shifting)..... 14 1.4.4 Real Convolution and Correlation................................................................................... 14 1.4.5 Complex Convolution – Modulation/Windowing.......................................................... 14 1.4.6 Duality............................................................................................................................... 17 1.4.7 Parseval Relation - Power Theorem................................................................................ 18 1.5 DISCRETE-TIME FOURIER TRANSFORM (DTFT)............................................................ 18 1.6 DISCRETE-TIME FOURIER SERIES - DFS/DFT.................................................................. 19 1.7 SAMPLING THEOREM............................................................................................................. 21 1.7.1 Relationship between CTFS and DFS ........................................................................... 21 1.7.2 Relationship between CTFT and DTFT.......................................................................... 27 1.7.3 Sampling Theorem............................................................................................................ 27 1.8 POWER, ENERGY, AND CORRELATION............................................................................ 29 1.9 LOWPASS EQUIVALENT OF BANDPASS SIGNALS........................................................ 30 Chapter 2: PROBABILITY AND RANDOM PROCESSES 39 2.1 PROBABILITY........................................................................................................................... 39 2.1.1 Definition of Probability................................................................................................. 39 2.1.2 Joint Probability and Conditional Probability............................................................... 40 2.1.3 Probability Distribution/Density Function..................................................................... 41 2.1.4 Joint Probability Density Function................................................................................. 41 2.1.5 Condtional Probability Density Function...................................................................... 41 2.1.6 Independence................................................................................................................... 41 2.1.7 Function of a Random Variable...................................................................................... 42 2.1.8 Expectation, Covariance, and Correlation..................................................................... 43 2.1.9 Conditional Expectation.................................................................................................. 47 2.1.10 Central Limit Theorem - Normal Convergence Theorem............................................. 47 2.1.11 Random Processes............................................................................................................ 49 2.1.12 Stationary Processes and Ergodic Processes.................................................................. 51 2.1.13 Power Spectral Density (PSD)......................................................................................... 53 2.1.14 White Noise and Colored Noise...................................................................................... 53 2.2 LINEAR FILTERING OF A RANDOM PROCESS................................................................ 57 2.3 PSD OF A RANDOM PROCESS.............................................................................................. 58 2.4 FADING EFFECT OF A MULTIPATH CHANNEL............................................................... 58 Chapter 3: ANALOG MODULATION 71 3.1 AMPLITUDE MODULATION (AM)....................................................................................... 71 3.1.1 DSB (Double Sideband)-AM (Amplitude Modulation)............................................... 71 3.1.2 Conventional AM (Amplitude Modulation)................................................................ 75 3.1.3 SSB (Single Sideband)-AM(Amplitude Modulation)................................................. 78 3.2 ANGLE MODULATION (AGM) - FREQUENCY/PHASE MODULATIONS .................. 82 Chapter 4: ANALOG-TO-DIGITAL CONVERSION 87 4.1 QUANTIZATION........................................................................................................................ 87 4.1.1 Uniform Quantization..................................................................................................... 88 4.1.2 Non-uniform Quantization.............................................................................................. 89 4.1.3 Non-uniform Quantization Considering the Absolute Errors .................................... 91 4.2 Pulse Code Modulation (PCM)................................................................................................... 95 4.3 Differential Pulse Code Modulation (DPCM)........................................................................... 97 4.4 Delta Modulation (DM)............................................................................................................. 100 Chapter 5: BASEBAND TRANSMISSION 107 5.1 RECEIVER (RCVR) and SNR ............................................................................................... 107 5.1.1 Receiver of RC Filter Type.......................................................................................... 109 5.1.2 Receiver of Matched Filter Type................................................................................. 110 5.1.3 Signal Correlator........................................................................................................... 112 5.2 PROBABILITY OF ERROR WITH SIGNALING................................................................ 114 5.2.1 Antipodal (Bipolar) Signaling...................................................................................... 114 5.2.2 On-Off Keying (OOK)/Unipolar Signaling................................................................. 118 5.2.3 Orthogonal Signaling.................................................................................................... 119 5.2.4 Signal Constellation Diagram...................................................................................... 121 5.2.5 Simulation of Binary Communication......................................................................... 123 5.2.6 Multi-Level(amplitude) PAM Signaling..................................................................... 127 5.2.7 Multi-Dimensional Signaling....................................................................................... 129 5.2.8 Bi-Orthogonal Signaling............................................................................................... 133 Chapter 6: BANDLIMITED CHANNEL AND EQUALIZER 139 6.1 BANDLIMITED CHANNEL................................................................................................... 139 6.1.1 Nyquist Bandwidth........................................................................................................ 139 6.1.2 Raised-Cosine Frequency Response............................................................................ 141 6.1.3 Partial Respone Signaling - Duobinary Signaling...................................................... 143 6.2 EQUALIZER............................................................................................................................. 148 6.2.1 Zero-Forcing Equalizer (ZFE)...................................................................................... 148 6.2.2 MMSE Equalizer (MMSEE)........................................................................................ 151 6.2.3 Adaptive Equalizer (ADE)........................................................................................... 154 6.2.4 Decision Feedback Equalizer (DFE)............................................................................ 155 Chapter 7: BANDPASS TRANSMISSION 169 7.1 AMPLITUDE SHIFT KEYING (ASK)................................................................................... 169 7.2 FREQUENCY SHIFT KEYING (FSK)................................................................................... 178 7.3 PHASE SHIFT KEYING (PSK)............................................................................................... 187 7.4 DIFFERENTIAL PHASE SHIFT KEYING (DPSK)............................................................. 190 7.5 QUADRATURE AMPLITUDE MODULATION (QAM).................................................... 195 7.6 COMPARISON OF VARIOUS SIGNALINGS...................................................................... 200 Chapter 8: CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION 227 8.1 INTRODUCTION..................................................................................................................... 227 8.2 PLL (PHSE-LOCKED LOOP)................................................................................................. 228 8.3 ESTIMATION OF CARRIER PHASE USING PLL............................................................. 233 8.4 CARRIER PHASE RECOVERY............................................................................................. 235 8.4.1 Carrier Phase Recovery Using a Squaring Loop for BPSK Signals.......................... 235 8.4.2 Carrier Phase Recovery Using Costas Loop for PSK Signals.................................... 237 8.4.3 Carrier Phase Recovery for QAM Signals.................................................................. 240 8.5 SYMBOL SYNCHRONIZATION (TIMING RECOVERY)................................................ 243 8.5.1 Early-Late Gate Timing Recovery for BPSK Signals................................................ 243 8.5.2 NDA-ELD Synchronizer for PSK Signals.................................................................. 246 Chapter 9: INFORMATION AND CODING 257 9.1 MEASURE OF INFORMATION - ENTROPY...................................................................... 257 9.2 SOURCE CODING................................................................................................................... 259 9.2.1 Huffman Coding............................................................................................................ 259 9.2.2 Lempel-Zip-Welch Coding........................................................................................... 262 9.2.3 Source Coding vs. Channel Coding............................................................................. 265 9.3 CHANNEL MODEL AND CHANNEL CAPACITY............................................................ 266 9.4 CHANNEL CODING................................................................................................................ 271 9.4.1 Waveform Coding......................................................................................................... 272 9.4.2 Linear Block Coding..................................................................................................... 273 9.4.3 Cyclic Coding................................................................................................................ 282 9.4.4 Convolutional Coding and Viterbi Decoding.............................................................. 287 9.4.5 Trellis-Coded Modulation (TCM)................................................................................ 296 9.4.6 Turbo Coding................................................................................................................. 300 9.4.7 Low-Density Parity-Check (LDPC) Coding............................................................... 311 9.4.8 Differential Space-Time Block Coding (DSTBC)...................................................... 316 9.5 CODING GAIN ....................................................................................................................... 319 Chapter 10: SPREAD-SPECTRUM SYSTEM 339 10.1 PN (Pseudo Noise) Sequence..................................................................................................... 339 10.2 DS-SS (Direct Sequence Spread Spectrum)............................................................................. 347 10.3 FH-SS (Frequency Hopping Spread Spectrum)........................................................................ 352 Chapter 11: OFDM SYSTEM 359 11.1 OVERVIEW OF OFDM......................................................................................................... 359 11.2 FREQUENCY BAND AND BANDWIDTH EFFICIENCY OF OFDM............................ 363 11.3 CARRIER RECOVERY AND SYMBOL SYNCHRONIZATION.......................................... 364 11.4 CHANNEL ESTIMATION AND EQUALIZATION.......................................................... 381 11.5 INTERLEAVING AND DEINTERLEAVING..................................................................... 384 11.6 PUNCTURING AND DEPUNCTURING............................................................................ 386 11.7 IEEE STANDARD 802.11A - 1999....................................................................................... 388

Modeling And Simulation Of Systems Using Matlab And Simulink

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Author : Devendra K. Chaturvedi
language : en
Publisher: CRC Press
Release Date : 2017-12-19

Modeling And Simulation Of Systems Using Matlab And Simulink written by Devendra K. Chaturvedi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Computers categories.

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.

Problem Based Learning In Communication Systems Using Matlab And Simulink

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