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Titre :DIGITAL COMMUNICATIONS: FUNDAMENTALS AND APPLICATIONS 2ND EDITION
Caractéristiques :
Auteur(s) :  SKLAR 
Editeur :  PRENTICE HALL 
Parution :  01/2001 
Langue :  Anglais 
Nbre de pages :  1024 
ISBN :  9780130847881 
Reliure :  MIXED MEDIAPAK 
Prix :  55.00 € ttc 
Disponibilité :  Livraison sous 2 à 10 jours ouvrables. 

Couverture :

Résumé :
Exceptionally accessible, this book presents the often "difficult" concepts of digital communications in an easyto understand mannerwithout diluting the mathematical precision. Using a studentfriendly approach, it develops the important techniques in the context of a unified structure (in block diagram form)providing organization and structure to a field that has, and continues, to grow rapidly, and ensuring that students gain an awareness of the "big picture" even while delving into the details (the most uptodate modulation, coding, and signal processing techniques that have become the basic tools of our modern era). It traces signals and key processing steps from the information source through the transmitter, channel, receiver, and ultimately to the information sink.
NewExpanded coverage of errorcorrection codingParticularly in the areas of ReedSolomon codes, turbo codes, and trelliscoded modulation. NewA chapter on fading channelsAnd how to mitigate their degrading effects. Methodically organizes the nomenclature of fading channels, the fading phenomena, and their effects, making them easier to grasp. Prepares students for disciplines such as mobile communications, which require a basic understanding of how such channels suffer the effects of fading, and how to withstand these degrading effects. NewExpanded explanations and descriptions of essential digital communication concepts. NewExpanded chapterend problem setsAdds question sets (and where to find the answers), as well as CD exercises. NewAn accompanying CDContains a student version of SystemView software by ELANIXr; over 30 additional communications problems (in addition to the ones at the end of each chapter) which can be solved by using the software; and an extensive tutorial on digital signal processing. Allows students to explore the textbook concepts by viewing waveforms, and changing system parameters in the software to see the effects on the overall system. Sophisticated concepts presented in an easytounderstand, intuitive wayUses simple numerical examples, including detailed stepbystep "howto" instructions. Helps students readily grasp the Newest technology, such as turbo codes, trelliscoded modulation, fading channels, Reed Solomon codes, PGP encryption. Techniques developed in the context of a unified structureThe structure, in block diagram form, appears at the beginning of each chapter; blocks in the diagram are emphasized, when appropriate, to correspond to the subject of that chapter. Signal transformationsOrganized according to nine functional classes: Formatting and source coding; Baseband signaling; Bandpass signaling; Equalization; Channel coding; Multiplexing and multiple access; Spreading; Encryption; and Synchronization. An emphasis on system goals and tradeoffsE.g., between basic system parameters, such as signaltonoise ratio, probability of error, and bandwidth (spectral) expenditure. Turbo codesFeatures unique, thorough coverage of turbo code concepts and "howto" examples. Gives students insight into the stateoftheart technique that allows "squeezing out the last drop" of performance improvement that is theoretically possible by using advanced error correction techniques. Trelliscoded modulation and ReedSolomon errorcorrection codesGoes beyond simple mathematical description to explain all of the sophisticated mathwith analogies of what that math is accomplishing. Exposes students to subtle, but important ideashow they work and how they can be used as a vehicle for achieving different system goals. Pretty Good Privacy (PGP)Explains the key features of how PGP works and how it has evolved. Familiarizes students to the security program that has become the "de facto" standard for email and file encryption. An abundance of illustrations (500) and problems and exercises (300).
PREFACE
This second edition of Digital Communications: Fundamentals and Applications represents an update of the original publication. The key features that have been updated are:
The errorcorrection coding chapters have been expanded, particularly in the areas of ReedSolomon codes, turbo codes, and trelliscoded modulation. A new chapter on fading channels and how to mitigate the degrading effects of fading has been introduced. Explanations and descriptions of essential digital communication concepts have been amplified. Endofchapter problem sets have been expanded. Also, endofchapter question sets (and where to find the answers), as well as endofchapter CD exercises have been added. A compact disc (CD) containing an educational version of the design software SystemView by ELANIX accompanies the textbook. The CD contains a workbook with over 200 exercises, as well as a concise tutorial on digital signal processing (DSP). CD exercises in the workbook reinforce material in the textbook; concepts can be explored by viewing waveforms with a windowsbased PC and by changing parameters to see the effects on the overall system. Some of the exercises provide basic training in using SystemView; others provide additional training in DSP techniques.
The teaching of a onesemester university course proceeds in a very different manner compared with that of a shortcourse in the same subject. At the university, one has the luxury of time_time to develop the needed skills and mathematical tools, time to practice the ideas with homework exercises. In a shortcourse, the treatment is almost backwards compared with the university. Because of the time factor, a shortcourse teacher must "jump in" early with essential concepts and applications. One of the vehicles that I found useful in structuring a short course was to start by handing out a check list. This was not merely an outline of the curriculum. It represented a collection of concepts and nomenclature that are not clearly documented, and are often misunderstood. The shortcourse students were thus initiated into the course by being challenged. I promised them that once they felt comfortable describing each issue, or answering each question on the list, they would be well on their way toward becoming knowledgeable in the field of digital communications. I have learned that this list of essential concepts is just as valuable for teaching fullsemester courses as it is for short courses. Here then is my "check list" for digital communications.
1.What mathematical dilemma is the cause for there being several definitions of bandwidth? (See Section 1.7.2.) 2.Why is the ratio of bit energytonoise power spectral density, Eb/N0, a natural figuretomerit for digital communication systems? (See Section 3.1.5.) 3.When representing timed events, what dilemma can easily result in confusing the mostsignificant bit (MSB) and the leastsignificant bit (LSB)? (See Section 3.2.3.1.) 4.The error performance of digital signaling suffers primarily from two degradation types. a) loss in signaltonoise ratio, b) distortion resulting in an irreducible biterror probability. How do they differ? (See Section 3.3.2.) 5.Often times, providing more Eb/N0 will not mitigate the degradation due to intersymbol interference (ISI). Explain why. (See Section 3.3.2.) 6.At what location in the system is Eb/N0 defined? (See Section 4.3.2.) 7.Digital modulation schemes fall into one of two classes with opposite behavior characteristics. a) orthogonal signaling, b) phase/amplitude signaling. Describe the behavior of each class. (See Section 4.8.2 and 9.7.) 8.Why do binary phase shift keying (BPSK) and quaternary phase shift keying (QPSK) manifest the same biterrorprobability relationship? Does the same hold true for Mary pulse amplitude modulation (MPAM) and M2ary quadrature amplitude modulation (M2QAM) biterror probability? (See Sections 4.8.4 and 9.8.3.1.) 9.In orthogonal signaling, why does errorperformance improve with higher dimensional signaling? (See Section 4.8.5.) 10.Why is freespace loss a function of wavelength? (See Section 5.3.3.) 11.What is the relationship between received signal to noise (S/N) ratio and carrier to noise (C/N) ratio? (See Section 5.4.) 12.Describe four types of tradeoffs that can be accomplished by using an errorcorrecting code. (See Section 6.3.4.) 13.Why do traditional errorcorrecting codes yield errorperformance degradation at low values of Eb/N0? (See Section 6.3.4.) 14.Of what use is the standard array in understanding a block code, and in evaluating its capability? (See Section 6.6.5.) 15.Why is the Shannon limit of 1.6 dB not a useful goal in the design of real systems? (See Section 8.4.5.2.) 16.16. What are the consequences of the fact that the Viterbi decoding algorithm does not yield a posteriori probabilities? What is a more descriptive name for the Viterbi algorithm? (See Section 8.4.6.) 17.17. Why do binary and 4ary orthogonal frequency shift keying (FSK) manifest the same bandwidthefficiency relationship? (See Section 9.5.1.) 18.18. Describe the subtle energy and rate transformations of received signals: from databits to channelbits to symbols to chips. (See Section 9.7.7.) 19.19. Define the following terms: Baud, State, Communications Resource, Chip, Robust Signal. (See Sections 1.1.3 and 7.2.2, Chapter 11, and Sections 12.3.2 and 12.4.2.) 20.20. In a fading channel, why is signal dispersion independent of fading rapidity? (See Section 15.1.1.1.)
I hope you find it useful to be challenged in this way. Now, let us describe the purpose of the book in a more methodical way. This second edition is intended to provide a comprehensive coverage of digital communication systems for senior level undergraduates, first year graduate students, and practicing engineers. Though the emphasis is on digital communications, necessary analog fundamentals are included since analog waveforms are used for the radio transmission of digital signals. The key feature of a digital communication system is that it deals with a finite set of discrete messages, in contrast to an analog communication system in which messages are defined on a continuum. The objective at the receiver of the digital system is not to reproduce a waveform with precision; it is instead to determine from a noiseperturbed signal, which of the finite set of waveforms had been sent by the transmitter. In fulfillment of this objective, there has arisen an impressive assortment of signal processing techniques.
The book develops these techniques in the context of a unified structure. The structure, in block diagram form, appears at the beginning of each chapter; blocks in the diagram are emphasized, when appropriate, to correspond to the subject of that chapter. Major purposes of the book are to add organization and structure to a field that has grown and continues to grow rapidly, and to insure awareness of the "big picture" even while delving into the details. Signals and key processing steps are traced from the information source through the transmitter, channel, receiver, and ultimately to the information sink. Signal transformations are organized according to nine functional classes: Formatting and source coding, Baseband signaling, Bandpass signaling, Equalization, Channel coding, Muliplexing and multiple access, Spreading, Encryption, and Synchronization. Throughout the book, emphasis is placed on system goals and the need to trade off basic system parameters such as signaltonoise ratio, probability of error, and bandwidth expenditure.
ORGANIZATION OF THE BOOK
Chapter 1 introduces the overall digital communication system and the basic signal transformations that are highlighted in subsequent chapters. Some basic ideas of random variables and the additive white Gaussian noise (AWGN) model are reviewed. Also, the relationship between power spectral density and autocorrelation, and the basics of signal transmission through linear systems are established. Chapter 2 covers the signal processing step, known as formatting, in order to render an information signal compatible with a digital system. Chapter 3 emphasizes baseband signaling, the detection of signals in Gaussian noise, and receiver optimization. Chapter 4 deals with bandpass signaling and its associated modulation and demodulation/detection techniques. Chapter 5 deals with link analysis, an important subject for providing overall system insight; it considers some subtleties that are often missed. Chapters 6, 7, and 8 deal with channel coding_a costeffective way of providing a variety of system performance tradeoffs. Chapter 6 emphasizes linear block codes, Chapter 7 deals with convolutional codes, and Chapter 8 deals with ReedSolomon codes and concatenated codes such as turbo codes.
Chapter 9 considers various modulation/coding system tradeoffs dealing with probability of biterror performance, bandwidth efficiency, and signaltonoise ratio. It also treats the important area of coded modulation, particularly trelliscoded modulation. Chapter 10 deals with synchronization for digital systems. It covers phaselocked loop implementation for achieving carrier synchronization. It covers bit synchronization, frame synchronization, and network synchronization, and it introduces some ways of performing synchronization using digital methods.
Chapter 11 treats multiplexing and multiple access. It explores techniques that are available for utilizing the communication resource efficiently. Chapter 12 introduces spread spectrum techniques and their application in such areas as multiple access, ranging, and interference rejection. This technology is important for both military and commercial applications. Chapter 13 deals with source coding which is a special class of data formatting. Both formatting and source coding involve digitization of data; the main difference between them is that source coding additionally involves data redundancy reduction. Rather than considering source coding immediately after formatting, it is purposely treated in a later chapter so as not to interrupt the presentation flow of the basic processing steps. Chapter 14 covers basic encryption/decryption ideas. It includes some classical concepts, as well as a class of systems called public key cryptosystems, and the widely used Email encryption software known as Pretty Good Privacy (PGP). Chapter 15 deals with fading channels. Here, we deal with applications, such as mobile radios, where characterization of the channel is much more involved than that of a nonfading one. The design of a communication system that will withstand the degradation effects of fading can be much more challenging than the design of its nonfading counterpart. In this chapter, we describe a variety of techniques that can mitigate the effects of fading, and we show some successful designs that have been implemented.
It is assumed that the reader is familiar with Fourier methods and convolution. Appendix A reviews these techniques, emphasizing those properties that are particularly useful in the study of communication theory. It also assumed that the reader has a knowledge of basic probability and has some familiarity with random variables. Appendix B builds on these disciplines for a short treatment on statistical decision theory with emphasis on hypothesis testing_so important in the understanding of detection theory. A new section, Appendix E, has been added to serve as a short tutorial on sdomain, zdomain, and digital filtering. A concise DSP tutorial also appears on the CD that accompanies the book.
If the book is used for a twoterm course, a simple partitioning is suggested; the first seven chapters can be taught in the first term, and the last eight chapters in the second term. If the book is used for a oneterm introductory course, it is suggested that the course material be selected from the following chapters: 1, 2, 3, 4, 5, 6, 7, 9, 10, and 12.
Bernard Sklar is Head of Advanced Systems at Communications Engineering Services, Inc., and a visiting lecturer at UCLA. He has over 40 years of experience in technical design and management positions at Republic Aviation Corporation, Hughes Aircraft, Litton Industries, and The Aerospace Corporation. He is author of numerous technical papers and won the Prize Paper Award from the IEEE for a tutorial series on digital communications.
Table of Contents
1. SIGNALS AND SPECTRA. Digital Communication Signal Processing. Classification of Signals. Spectral Density. Autocorrelation. Random Signals. Signal Transmission through Linear Systems. Bandwidth of Digital Data. Conclusion.
2. FORMATTING AND BASEBAND MODULATION. Baseband Systems. Formatting Textual Data (Character Coding). Messages, Characters, and Symbols. Formatting Analog Information. Sources of Corruption. Pulse Code Modulation. Uniform and Nonuniform Quantization. Baseband Modulation. Correlative Coding. Conclusion.
3. BASEBAND DEMODULATION/DETECTION. Signals and Noise. Detection of Binary Signals in Gaussian Noise. Intersymbol Interference. Equalization. Conclusion.
4. BANDPASS MODULATION AND DEMODULATION/_DETECTION. Why Modulate? Digital Bandpass Modulation Techniques. Detection of Signals in Gaussian Noise. Coherent Detection. Noncoherent Detection. Complex Envelope. Error Performance for Binary Systems. Mary Signaling and Performance. Symbol Error Performance for Mary Systems (M >2). Conclusion.
5. COMMUNICATIONS LINK ANALYSIS. What the System Link Budget Tells the System Engineer. The Channel. Received Signal Power and Noise Power. Link Budget Analysis. Noise Figure, Noise Temperature, and System Temperature. Sample Link Analysis. Satellite Repeaters. System TradeOffs. Conclusion.
6. CHANNEL CODING: PART 1. Waveform Coding and Structured Sequences. Types of Error Control. Structured Sequences. Linear Block Codes. ErrorDetecting and Correcting Capability. Usefulness of the Standard Array. Cyclic Codes. WellKnown Block Codes. Conclusion.
7. CHANNEL CODING: PART 2. Convolutional Encoding. Convolutional Encoder Representation. Formulation of the Convolutional Decoding Problem. Properties of Convolutional Codes. Other Convolutional Decoding Algorithms. Conclusion.
8. CHANNEL CODING: PART 3. ReedSolomon Codes. Interleaving and Concatenated Codes. Coding and Interleaving Applied to the Compact Disc _Digital Audio System. Turbo Codes. Conclusion.
Appendix 8A. The Sum of LogLikelihood Ratios. 9. Modulation and Coding TradeOffs. Goals of the Communications System Designer. Error Probability Plane. Nyquist Minimum Bandwidth. ShannonHartley Capacity Theorem. Bandwidth Efficiency Plane. Modulation and Coding TradeOffs. Defining, Designing, and Evaluating Digital _Communication Systems. BandwidthEfficient Modulation. Modulation and Coding for Bandlimited Channels. TrellisCoded Modulation. Conclusion.
10. SYNCHRONIZATION. Introduction. Receiver Synchronization. Network Synchronization. Conclusion.
11. MULTIPLEXING AND MULTIPLE ACCESS. Allocation of the Communications Resource. Multiple Access Communications System and Architecture. Access Algorithms. Multiple Access Techniques Employed with INTELSAT. Multiple Access Techniques for Local Area Networks. Conclusion.
12. SPREADSPECTRUM TECHNIQUES. SpreadSpectrum Overview. Pseudonoise Sequences. DirectSequence SpreadSpectrum Systems. Frequency Hopping Systems. Synchronization. Jamming Considerations. Commercial Applications. Cellular Systems. Conclusion.
13. SOURCE CODING. Sources. Amplitude Quantizing. Differential PulseCode Modulation. Adaptive Prediction. Block Coding. Transform Coding. Source Coding for Digital Data. Examples of Source Coding. Conclusion.
14. ENCRYPTION AND DECRYPTION. Models, Goals, and Early Cipher Systems. The Secrecy of a Cipher System. Practical Security. Stream Encryption. Public Key Cryptosystems. Pretty Good Privacy. Conclusion.
15. FADING CHANNELS. The Challenge of Communicating over Fading Channels. Characterizing MobileRadio Propagation. Signal TimeSpreading. Time Variance of the Channel Caused by Motion. Mitigating the Degradation Effects of Fading. Summary of the Key Parameters Characterizing Fading Channels. Applications: Mitigating the Effects of FrequencySelective Fading. Conclusion.
A. A REVIEW OF FOURIER TECHNIQUES. A.1 Signals, Spectra, and Linear Systems. Fourier Techniques for Linear System Analysis. Fourier Transform Properties. Useful Functions. Convolution. Tables of Fourier Transforms and Operations.
B. FUNDAMENTALS OF STATISTICAL DECISION THEORY. Bayes' Theorem. Decision Theory. Signal Detection Example. C. RESPONSE OF A CORRELATOR TO WHITE NOISE. D. OFTENUSED IDENTITIES. E. sDOMAIN, zDOMAIN AND DIGITAL FILTERING. The Laplace Transform. The zTransform. Digital Filtering. Finite Impulse Response Filter Design. Infinite Impulse Response Filter Design.
F. LIST OF SYMBOLS. INDEX.

Table des matières :
(NOTE: Each chapter concludes with a Conclusion, References, Problems, Questions, and CD Exercises.)
1. Signals and Spectra.
Digital Communication Signal Processing. Classification of Signals. Spectral Density. Autocorrelation. Random Signals. Signal Transmission through Linear Systems. Bandwidth of Digital Data.
2. Formatting and Baseband Modulation.
Baseband Systems. Formatting Textual Data (Character Coding). Messages, Characters, and Symbols. Formatting Analog Information. Sources of Corruption. Pulse Code Modulation. Uniform and Nonuniform Quantization. Baseband Modulation. Correlative Coding.
3. Baseband Demodulation/Detection.
Signals and Noise. Detection of Binary Signals in Gaussian Noise. Intersymbol Interference. Equalization.
4. Bandpass Modulation and Demodulation/Detection.
Why Modulate? Digital Bandpass Modulation Techniques. Detection of Signals in Gaussian Noise. Coherent Detection. Noncoherent Detection. Complex Envelope. Error Performance for Binary Systems. Mary Signaling and Performance. Symbol Error Performance for Mary Systems (M>>2).
5. Communications Link Analysis.
What the System Link Budget Tells the System Engineer. The Channel. Received Signal Power and Noise Power. Link Budget Analysis. Noise Figure, Noise Temperature, and System Temperature. Sample Link Analysis. Satellite Repeaters. System TradeOffs.
6. Channel Coding: Part 1.
Waveform Coding. Types of Error Control. Structured Sequences. Linear Block Codes. ErrorDetecting and Correcting Capability. Usefulness of the Standard Array. Cyclic Codes. WellKnown Block Codes.
7. Channel Coding: Part 2.
Convolutional Encoding. Convolutional Encoder Representation. Formulation of the Convolutional Decoding Problem. Properties of Convolutional Codes. Other Convolutional Decoding Algorithms.
8. Channel Coding: Part 3.
ReedSolomon Codes. Interleaving and Concatenated Codes. Coding and Interleaving Applied to the Compact Disc Digital Audio System. Turbo Codes.
Appendix 8A. The Sum of LogLikelihood Ratios. 9. Modulation and Coding TradeOffs.
Goals of the Communications System Designer. Error Probability Plane. Nyquist Minimum Bandwidth. ShannonHartley Capacity Theorem. Bandwidth Efficiency Plane. Modulation and Coding TradeOffs. Defining, Designing, and Evaluating Systems. BandwidthEfficient Modulations. Modulation and Coding for Bandlimited Channels. TrellisCoded Modulation.
10. Synchronization.
Introduction. Receiver Synchronization. Network Synchronization.
11. Multiplexing and Multiple Access.
Allocation of the Communications Resource. Multiple Access Communications System and Architecture. Access Algorithms. Multiple Access Techniques Employed with INTELSAT. Multiple Access Techniques for Local Area Networks.
12. SpreadSpectrum Techniques.
SpreadSpectrum Overview. Pseudonoise Sequences. DirectSequence SpreadSpectrum Systems. Frequency Hopping Systems. Synchronization. Jamming Considerations. Commercial Applications. Cellular Systems.
13. Source Coding.
Sources. Amplitude Quantizing. Differential PulseCode Modulation. Adaptive Prediction. Block Coding. Transform Coding. Source Coding for Digital Data. Examples of Source Coding.
14. Encryption and Decryption.
Models, Goals, and Early Cipher Systems. The Secrecy of a Cipher System. Practical Security. Stream Encryption. Public Key Cryptosystems. Pretty Good Privacy.
15. Fading Channels.
The Challenge of Communicating over Fading Channels. Characterizing MobileRadio Propagation. Signal TimeSpreading. Time Variance of the Channel Caused by Motion. Mitigating the Degradation Effects of Fading. Summary of the Key Parameters Characterizing Fading Channels. Applications: Mitigating the Effects of FrequencySelective Fading.
A. A Review of Fourier Techniques.
Signals, Spectra, and Linear Systems. Fourier Techniques for Linear System Analysis. Fourier Transform Properties. Useful Functions. Convolution. Tables of Fourier Transforms and Operations.
B. Fundamentals of Statistical Decision Theory.
Bayes' Theorem. Decision Theory. Signal Detection Example.
C. Response of a Correlator To White Noise.D. OftenUsed Identities.E. sDomain, zDomain and Digital Filtering.F. List of Symbols.G. SystemView by ELANIX Guide to the CD.


