Principles of Communications Systems Modulation and Noise 7th Edition by Rodger Ziemer, William Tranter
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Authors:Rodger E. Ziemer; William H. Tranter , Series:Mechanical engineering [74] , Tags:Technology & Engineering › Telecommunications , Author sort:Ziemer, Rodger E. & Tranter, William H. , Ids:9780470398784 , Languages:Languages:eng , Published:Published:Nov 2009 , Publisher:Wiley , Comments:Comments:Electrical and computer engineers need to understand the most current technologies in the field. In order to provide the latest information, the sixth edition presents a new chapter that explores the principles of digital data transmission without the complicating factor of performance in noise. It exposes readers to digital data transmission techniques earlier in the book so that they can appreciate the characteristics of digital communication systems before learning about probability and stochastic processes. They’ll also find expanded forward error correction code examples and new MATLAB problems. Electrical and computer engineers will benefit from this completely up-to-date resource.
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ISBN 10: 1118078918
ISBN 13: 978-1118078914
Author: Rodger E. Ziemer, William H. Tranter
Ziemer and Tranter provide a thorough treatment of the principles of communications at the physical layer suitable for college seniors, beginning graduate students, and practicing engineers. This is accomplished by providing overviews of the necessary background in signal, system, probability, and random process theory required for the analog and digital communications topics covered in the book. In addition to stressing fundamental concepts, the seventh edition features sections on important areas such as spread spectrum, cellular communications, and orthogonal frequency-division multiplexing. While the book is aimed at a two-semester course, more than enough material is provided for structuring courses according to students need and instructor preference.
Principles of Communications Systems Modulation and Noise 7th Table of contents:
CHAPTER 1: INTRODUCTION
1.1 The Block Diagram of a Communication System
1.2 Channel Characteristics
1.2.1 Noise Sources
1.2.2 Types of Transmission Channels
1.3 Summary of Systems-Analysis Techniques
1.3.1 Time and Frequency-Domain Analyses
1.3.2 Modulation and Communication Theories
1.4 Probabilistic Approaches to System Optimization
1.4.1 Statistical Signal Detection and Estimation Theory
1.4.2 Information Theory and Coding
1.4.3 Recent Advances
1.5 Preview of This Book
Further ReadingCHAPTER 1: INTRODUCTION
1.1 The Block Diagram of a Communication System
1.2 Channel Characteristics
1.2.1 Noise Sources
1.2.2 Types of Transmission Channels
1.3 Summary of Systems-Analysis Techniques
1.3.1 Time and Frequency-Domain Analyses
1.3.2 Modulation and Communication Theories
1.4 Probabilistic Approaches to System Optimization
1.4.1 Statistical Signal Detection and Estimation Theory
1.4.2 Information Theory and Coding
1.4.3 Recent Advances
1.5 Preview of This Book
Further Reading
CHAPTER 2: SIGNAL AND LINEAR SYSTEM ANALYSIS
2.1 Signal Models
2.1.1 Deterministic and Random Signals
2.1.2 Periodic and Aperiodic Signals
2.1.3 Phasor Signals and Spectra
2.1.4 Singularity Functions
2.2 Signal Classifications
2.3 Fourier Series
2.3.1 Complex Exponential Fourier Series
2.3.2 Symmetry Properties of Fourier Coefficients
2.3.3 Trigonometric Form of Fourier Series
2.3.4 Parseval’s Theorem
2.3.5 Examples and Line Spectra
2.4 The Fourier Transform
2.4.1 Amplitude and Phase Spectra
2.4.2 Symmetry Properties
2.4.3 Energy Spectral Density
2.4.4 Convolution
2.4.5 Transform Theorems
2.4.6 Periodic Signals and Poisson Sum Formula
2.5 Power Spectral Density and Correlation
2.5.1 Autocorrelation and Properties
2.6 Signals and Linear Systems
2.6.1 Linear Time-Invariant Systems
2.6.2 Impulse Response and Superposition Integral
2.6.3 Stability and Transfer Function
2.6.4 Causality and Symmetry Properties
2.6.5 Input-Output Relationships
2.7 Sampling Theory
2.8 The Hilbert Transform
2.8.1 Definition and Properties
2.8.2 Analytic Signals and Bandpass Representations
2.9 Discrete Fourier Transform and Fast Fourier Transform
Further Reading, Summary, Problems, and Exercises
CHAPTER 3: LINEAR MODULATION TECHNIQUES
3.1 Double-Sideband Modulation
3.2 mplitude Modulation (AM)
3.2.1 Envelope Detection and Modulation Trapezoid
3.3 Single-Sideband (SSB) Modulation
3.4 Vestigial-Sideband (VSB) Modulation
3.5 Frequency Translation and Mixing
3.6 Interference in Linear Modulation
3.7 Pulse Amplitude Modulation (PAM)
3.8 Digital Pulse Modulation
3.8.1 Delta Modulation
3.8.2 Pulse-Code Modulation
3.8.3 Time-Division Multiplexing
Further Reading, Summary, Problems, and Exercises
CHAPTER 4: ANGLE MODULATION AND MULTIPLEXING
4.1 Phase and Frequency Modulation
4.1.1 Narrowband and Wideband Modulation
4.1.2 Spectral and Power Analysis
4.2 Demodulation Techniques
4.3 Feedback Demodulators: Phase-Locked Loop
4.3.1 PLLs for FM and PM Demodulation
4.3.2 Linear and Acquisition Mode Operations
4.4 Interference and Analog Pulse Modulation
4.5 Multiplexing Techniques
4.5.1 Frequency-Division Multiplexing
4.5.2 Quadrature Multiplexing
Further Reading, Summary, Problems, and Exercises
CHAPTER 5: PRINCIPLES OF BASEBAND DIGITAL DATA TRANSMISSION
5.1 Baseband Transmission Systems
5.2 Line Codes and Power Spectra
5.3 Inter-Symbol Interference (ISI) and Pulse Shaping
5.4 Equalization and Synchronization
5.5 Eye Diagrams and Carrier Modulation
Further Reading, Summary, Problems, and Exercises
CHAPTER 6: OVERVIEW OF PROBABILITY AND RANDOM VARIABLES
6.1 Fundamentals of Probability
6.1.1 Sample Spaces and Axioms
6.1.2 Useful Relationships
6.2 Random Variables and Distributions
6.3 Statistical Averages and Variances
6.4 Common Probability Distributions
Further Reading, Summary, Problems, and Exercises
CHAPTER 7: RANDOM SIGNALS AND NOISE
7.1 Random Processes and Terminology
7.2 Correlation and Power Spectral Density
7.3 Linear Systems with Random Inputs
7.4 Narrowband Noise and Representation
Further Reading, Summary, Problems, and Exercises
CHAPTER 8: NOISE IN MODULATION SYSTEMS
8.1 Signal-to-Noise Ratios in Systems
8.2 Noise in Coherent and Non-Coherent Systems
8.3 FM Threshold Effect and Companding
Further Reading, Summary, Problems, and Exercises
CHAPTER 9: PRINCIPLES OF DIGITAL DATA TRANSMISSION IN NOISE
9.1 Baseband Transmission in Gaussian Noise
9.2 Receiver Design and Error Probability
9.3 Digital Modulation Schemes
9.4 M-ary Modulation and Noise Performance
9.5 Eqalization and Fading Channels
Further Reading, Summary, Problems, and Exercises
CHAPTER 10: ADVANCED DATA COMMUNICATIONS
10.1 M-ary Communications Systems
10.2 Power Spectra for Modulation Techniques
10.3 Synchronization and Spread Spectrum
10.4 Cellular Communication and OFDM
Further Reading, Summary, Problems, and Exercises
CHAPTER 11: OPTIMUM RECEIVERS AND SIGNAL-SPACE CONCEPTS
11.1 Bayes Optimization and Detectors
11.2 Signal Space Representation
11.3 MAP Receiver Design
11.4 Estimation Theory in Communications
Further Reading, Summary, Problems, and Exercises
CHAPTER 12: INFORMATION THEORY AND CODING
12.1 Information and Entropy Concepts
12.2 Source Coding Techniques
12.3 Noisy Channel Communication and Block Codes
Further Reading, Summary, Problems, and Exercises
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