Mohammed Farooque Mesiya是伦斯勒理工学院工程与科学系教授,是几家成功创业公司的CEO。专业领域包括无线通信与网络、光纤通信与网络、数字通信与信号处理、宽带网络与结构等。Mesiya教授还出版过几本书籍,并发表了众多的期刊论文和会议论文。
目錄:
Preface xv
CHAPTER
Introduction
1.1 Elements of a Communication System
1.2 Communication Channels
1.3 Analog and Digital Communication Systems
1.4 History of Communications
1.5 Key Themes and Drivers
Final Remarks
Further Readings
CHAPTER 2
Review of Signals and Linear Systems
2.1 Basic Signal Concepts
2.2 Basic System Concepts
2.3 Frequency Domain Representation
2.4 Fourier Series
2.5 Fourier Transform
2.6 Time-Bandwidth Product
2.7 Transmission of Signals Through LTI Systems
2.8 LTI Systems as Frequency Selective Filters
2.9 Power Spectral Density
2.10 Frequency Response Characteristics of Transmission Media
2.11 Fourier Transforms for Discrete-Time Signals
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 3
Simulation of Communication Systems Using MATLABSimulink
3.1 Getting Started in Simulink
3.2 Modeling in Simulink
3.3 Simulation of Signal and Noise Sources
3.4 Modeling of Communication Systems
3.5 Displaying Signals in Frequency Domain
3.6 Using Simulink with MATLAB
Final Remarks
Further Readings
CHAPTER 4
Amplitude Modulation
4.1 Low-Pass and Bandpass Signals
4.2 Double-Sideband Suppressed-Carrier AM
4.3 Conventional Amplitude Modulation
4.4 Alternative Representations for BP Signals and Systems
4.5 Single-Sideband AM
4.6 Vestigial-Sideband AM
4.7 Quadrature Multiplexing
4.8 Multiplexing
4.9 Frequency Translation and Selection
4.10 Communication Receivers
Final Remarks
Further Readings
Problems
MATLAB Problems
APPENDIX 4A: Hilbert Transform
CHAPTER 5
Angle Modulation
5.1 FM and PM Signals
5.2 Spectrum of Angle-Modulated Signals
5.3 Narrowband FM
5.4 Demodulation of Angle-Modulated Signals
5.5 Phase-Locked Loop
5.6 PLL as FM Demodulator
5.7 FM Broadcasting
5.8 Analog Television
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 6
Probability and Random Processes
6.1 Probability Concepts
6.2 Random Variables
6.3 Continuous Random Variables
6.4 Functions of a Random Variable
6.5 Statistics of Random Variables
6.6 Pairs of Random Variables
6.7 Conditional Distributions
6.8 Jointly Gaussian Random Variables
6.9 Random Processes: Introduction
6.10 Power Spectrum of a Random Process
6.11 Some Important Random Processes
6.12 Narrowband Noise
6.13 Noise Sources in Communication Systems
6.14 Characterization of System Noise
6.15 MATLAB Simulation of Random Processes
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 7
Noise Performance of Analog Communication Systems
7.1 Noise Performance of Baseband Systems
7.2 Effect of Noise on the Performance of AM Systems
7.3 Noise Performance of Angle-Modulation Systems
7.4 Preemphasis and Deemphasis
7.5 Comparison of Analog Modulation Systems
7.6 Link Design
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 8
Conversion of Analog Signals to Digital Format
8.1 Sampling of Low-Pass Signals
8.2 Aliasing
8.3 Digitization of Analog Signals
8.4 Pulse Code Modulation
8.5 Differential Pulse Code Modulation
8.6 Oversampling in Analog-to-Digital Conversion
8.7 Delta Modulation
8.8 Sigma-Delta Modulation
8.9 Sampling Theorem for Bandpass Signals
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 9
Digital Baseband Modulation
9.1 Pulse Amplitude Modulation
9.2 Binary Line-Coding Techniques
9.3 Spectra of Digital Baseband Signals
9.4 Bandwidth of Digital Baseband Signals
9.5 Spectral and Power Out-of-Band Plots
9.6 Block Line Codes
9.7 Scrambling
9.8 Pulse Shaping to Improve Spectral Efficiency
9.9 Estimation of Allowable Bit Rate
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 10
Detection of Baseband Signals in Noise
10.1 Binary Signal Detection in AWGN
10.2 The Matched Filter
10.3 Vector Space Concepts
10.4 Vector Space Representation of Signals and WGN
10.5 M -ary Signal Detection in AWGN
10.6 Error Performance of ML Detectors
10.7 Error Performance of M -ary PAM Signals
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 11
Digital Information Transmission Using Carrier Modulation
11.1 Basic Concepts
11.2 Binary Amplitude-Shift Keying
11.3 Binary Phase-Shift Keying
11.4 Binary Frequency-Shift Keying
11.5 Differential Binary Phase-Shift Keying
11.6 Noncoherent Demodulation of Binary Digital Carrier Signals
11.7 Quadrature Modulation Schemes
11.8 Minimum Shift Keying
11.9 Quadrature Amplitude Modulation
11.10 Spectra of Quadrature Modulated Signals
11.11 Comparison of Carrier Modulation Schemes
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 12
Digital Signal Transmission Through Time Dispersive Channels
12.1 Transmission of PAM Signals Through Bandlimited Channels
12.2 Nyquist’s Criterion for Zero ISI
12.3 Transmit and Receive Filters for Bandlimited AWGN Channels
12.4 Partial Response Duobinary Signaling
12.5 Linear Equalizers
12.6 Adaptive Equalization
12.7 Decision Feedback Equalizers
12.8 Performance of Linear and Decision Feedback Equalizers
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 13
Digital Multiplexing and Synchronization
13.1 Digital Multiplexing
13.2 SONET
13.3 Carrier Synchronization
13.4 Symbol Synchronization
13.5 Frame Synchronization
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 14
Information Theory and Compression Techniques
14.1 Basic Concepts of Information Theory
14.2 Source Coding
14.3 Channel Coding
14.4 Capacity of AWGN Channels
14.5 Lossless Compression Techniques
14.6 Image Compression: JPEG
14.7 Digital Video Compression: MPEG
Final Remarks
Further Readings
Problems
MATLAB Problems
APPENDIX A: Capacity of AWGN Channel: Alternative Proof
CHAPTER 15
Channel Coding Techniques
15.1 Block Codes
15.2 Hard-Decision Decoding of Block Codes
15.3 Cyclic Codes
15.4 Error Correction Performance of Hard-Decision Decoded Block Codes
15.5 Soft-Decision Decoding of Block Codes
15.6 Convolutional Codes
15.7 Error Performance of Convolutional Codes
15.8 Turbo Codes
15.9 Trellis-Coded Modulation
Final Remarks
Further Readings
Problems
MATLAB Problems
APPENDIX A
Mathematical Tables
APPENDIX B
Abbreviations
APPENDIX C
List of Symbols
Index
內容試閱:
Preface
Communication systems transfer information between different points in space or time. Contemporary Communication Systems provides a comprehensive introduction to analog and digital communication systems that form the infrastructure of today’s optical fiber, wireless, and satellite communication networks. The book not only provides a logical and easy-tounderstand presentation of the fundamental principles but also engages students in the issues relevant to system and product implementation.
As such, the book covers several topics that get scant coverage in other textbooks but are very relevant in implementing modern analog and digital communication systems.
The book is designed for introductory courses in communication systems and in digital communications at the upper-level undergraduate, and first-year graduate programs in electrical and computer engineering. It provides detailed coverage of the background required to study communication systems in two chapters, one on signals and systems with emphasis on the frequency-domain analysis, and the other on the probability theory and random processes. Analog communications systems are covered in Chapters 4, 5, and 7. These
chapters include not only the traditional material but some new topics that are relevant to the design of today’s wireless communication receivers and optical networks employing cascade of optical amplifiers. Digital transmission is the enabling technology for global Internet, optical fiber, and new generations of wireless networks. Chapters 8 to 15 cover various aspects of digital communications systems.
Organization
Chapter 1 provides an introduction to communication systems, the history of their development, and major trends driving their evolution.
Chapter 2 is a review of signals and systems with an emphasis on the frequency domain analysis of signal transmission through LTI systems.
Chapter 3 introduces the capabilities of Simulink® for modeling and the simulation of analog and digital communication systems.
Chapter 4 is devoted to various amplitude modulation schemes. We also discuss multiplexing techniques and key operations implemented in communication transmitters and receivers. The chapter concludes with a discussion of various receiver architectures implemented in modern communication systems.
Chapter 5 covers angle modulation systems FM and PM. This is followed by a detailed treatment of analog phase-locked loops and analog NTSC TV system.
Chapter 6 reviews the basic concepts of probability theory and random processes that are relevant to the modeling and analysis of information signals and ubiquitous noise in communication systems. Transmission of random signals and noise through LTI systems are then analyzed in both time and frequency domains.
Chapter 7 addresses the effect of noise in the demodulation of amplitude- and angle-modulated signals. We compare the performance of analog communication systems and study the effects of transmission losses and noise on the design of analog transmission systems with repeaters.
Chapter 8 considers the conversion of analog signals into digital format. We study sampling theorem and quantization techniques
followed by waveform coding methods such as PCM, DPCM, and DM. The chapter concludes with a discussion of sigma-delta converters and bandpass sampling.
Chapter 9 presents baseband modulation schemes for transmission of digital data. Key requirements and characteristics of various line coding schemes are explained. We also study the design of pulse shapes to improve the spectral efficiency of digital baseband transmission systems.
In Chapter 10 we consider the detection of transmission symbols being conveyed in the digitally modulated signals in the presence of additive white Gaussian noise AWGN. We introduce the representation of signal waveforms and AWGN as vectors in finitedimensional vector spaces and use these concepts to develop optimum detector structures and analyze their performance.
Chapter 11 considers the transmission of digital data by modulating a carrier. We consider binary and quadrature modulation schemes and analyze their performance using vector space concepts. Frequency shift keying and minimum shift keying are also treated.
Noncoherent and differentially coherent schemes are then discussed. The chapter concludes with spectral analysis and a comparison of
various digital carrier modulation schemes.
Chapter 12 treats the transmission of digitally modulated signals through channels that introduce inter-symbol interference ISI in addition to AWGN. We consider signal design and equalization schemes for the mitigation of ISI and noise.
Chapter 13 addresses two major topics in digital communications: digital multiplexing and synchronization. Multiplexing is used to combine multiple user signals for the efficient sharing of a high-speed communication channel. This is followed by the coverage of carrier, symbol timing, and frame sync recovery circuits that are used to properly recover and demultiplex the constituent signals at the receiver.
Chapter 14 is an introduction to information theory where we explain fundamental limits on communication of information. After introducing the concepts of information content of a source and capacity of a communication channel, we study Shannon’s theorems on source coding and channel capacity. The chapter concludes with a detailed treatment of text, image, and video compression schemes.
Chapter 15 is devoted to channel coding for reliable transmission of information over noisy communication channels. We consider both linear block codes and convolutional codes and their performance using hard- and soft-decision decoding strategies. Coding for bandlimited channels and capacity-achieving turbo codes are also treated.
Pedagogical Features
The pedagogical features of the book include the following:
Chapter introductions that preview the material covered in that chapter and its relevance in practice.
Numerous examples, including MATLAB® exercises, to reinforce the key concepts and mathematical results.
End-of-chapter problems with varying degrees of difficulty. MATLAB exercises are provided with extensive help to assist students in programming problem solutions.
Simulink is used as a key pedagogical tool to help students understand theoretical results and develop familiarity with key elements in the design of communication systems. The author believes that Simulink can be used as a virtual laboratory to conduct experiments in the classroom setting to
Display signal waveforms and spectra at various points in communication systems.
Analyze the performance of systems and compare them with theoretical results.
Study the design approaches and possible trade-offs.
Each chapter concludes with final remarks that reiterate the key concepts and comment on important developments.
Each chapter includes a list of references that point to further reading materials.
Extensive resources for instructors and students on the book’s website are provided.
The development of communication systems has a rich and interesting history. A special effort has been made in the text to chronicle the milestone events in the field with historical boxes sprinkled throughout the book.
Most chapters include interviews with modern pioneers and renowned contributors in the field of communications that should inspire and motivate students.
Course Options
The book can be used to offer a variety of courses in communication systems. By a selective choice of chapters and sections therein, the instructor can provide the desired concentration for the course or adjust the content for the background of the students. An important consideration in this context is whether or not the students have already taken a course in probability and random processes at a senior level. We offer the following options for consideration, although many variants are possible.
A one-semester course in analog and digital communication systems: Selected review of sections from Chapters 2 and 6, Chapters 3 through 5, Chapter 7: Sections 7.1 to 7.5, Chapter 8: Sections 8.1 to 8.4, Chapter 9: Sections 9.1 to 9.2, Chapter 10: Sections 10.1 to 10.2, Chapter 11: Sections 11.1 to 11.2, and selections from Chapters 14 through 15 if time permits.
A one-semester course in digital communications: Selected review of sections from Chapters 2 and 6, Chapter 3, and Chapters 8 through 15.
A two-semester course sequence in analog and digital communication systems:
Chapters 2 through 8 for the first course
Chapters 9 through 15 for the second course
Online Resources
A website to accompany this text can be found at www.mhhe.commesiya . The site contains an instructor’s solutions manual, lecture PowerPoints, MATLAB m-files, Simulink models for all experiments, additional problems, and an image library. Instructors can also obtain access to COSMOSa Complete Online Solutions Manual Organization System, which instructors can use to create
exams and assignments, create custom content, and edit supplied problems and solutions.
Electronic Textbook Option
This text is offered through CourseSmart for both instructors and students. CourseSmart is an online resource where students can purchase the complete text online at almost half the cost of a traditional text. Purchasing the eTextbook allows students to take advantage of CourseSmart’s web tools for learning, which include full text search, notes and highlighting, and email tools for sharing notes between classmates. To learn more about CourseSmart options, contact your sales representative or visit www.CourseSmart.com.
McGraw-Hill Create
Craft your teaching resources to match the way you teach. With McGraw-Hill Create, you can rearrange chapters, combine material from other content sources, and quickly upload content you have written, such as your course syllabus or teaching notes. Find the content you need in McGraw-Hill Create by searching through thousands of leading McGraw-Hill textbooks. Arrange your book to fit your teaching style. McGraw-Hill Create even allows you to personalize your book’s appearance by selecting the cover and adding your name, school, and course information.