Schaum's Outline and Digital Communications / Edition 2

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Overview

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

This Schaum's Outline gives you

  • Practice problems with full explanations that reinforce knowledge
  • Coverage of the most up-to-date developments in your course field
  • In-depth review of practices and applications

Fully compatible with your classroom text, Schaum's highlights all the important facts you need to know. Use Schaum's to shorten your study time-and get your best test scores!

Schaum's Outlines-Problem Solved.

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Product Details

  • ISBN-13: 9780071402286
  • Publisher: McGraw-Hill Professional Publishing
  • Publication date: 11/28/2002
  • Series: Schaum's Outline Series
  • Edition description: 2ND
  • Edition number: 2
  • Pages: 336
  • Sales rank: 834,263
  • Product dimensions: 8.30 (w) x 10.70 (h) x 0.65 (d)

Meet the Author

McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

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Table of Contents

Chapter 1 Signals and Spectra 1
1.1 Introduction 1
1.2 Fourier Series and Discrete Spectra 1
1.3 Fourier Transforms and Continuous Spectra 2
1.4 Properties of Fourier Transform 3
1.5 Fourier Transforms of Power Signals 5
Chapter 2 Signal Transmission and Filtering 24
2.1 Introduction 24
2.2 Impulse Response and Frequency Response 24
2.3 Filter Characteristics of LTI Systems 26
2.4 Transmission of Signals Through LTI Systems 26
2.5 Filters 27
2.6 Quadrature Filters and Hilbert Transforms 29
Chapter 3 Amplitude Modulation 43
3.1 Introduction 43
3.2 Amplitude Modulation 43
3.3 Double-Sideband Modulation 44
3.4 Ordinary Amplitude Modulation 45
3.5 Single-Sideband Modulation 47
3.6 Vestigial-Sideband Modulation 49
3.7 Frequency Translation and Mixing 52
3.8 Frequency-Division Multiplexing 52
Chapter 4 Angle Modulation 68
4.1 Introduction 68
4.2 Angle Modulation and Instantaneous Frequency 68
4.3 Phase and Frequency Modulation 69
4.4 Fourier Spectra of Angle-Modulated Signals 70
4.5 Narrowband Angle Modulation 70
4.6 Sinusoidal (or Tone) Modulation 71
4.7 Bandwidth of Angle-Modulated Signals 71
4.8 Generation of Angle-Modulated Signals 72
4.9 Demodulation of Angle-Modulated Signals 74
Chapter 5 Digital Transmission of Analog Signals 90
5.1 Introduction 90
5.2 Pulse Code Modulation 90
5.3 Sampling Theorem 91
5.4 Sampling 91
5.5 Pulse Amplitude Modulation 93
5.6 Quantizing 93
5.7 Encoding 96
5.8 Bandwidth Requirements of PCM 96
5.9 Delta Modulation 97
5.10 Signaling Format 99
5.11 Time-Division Multiplexing 100
5.12 Bandwidth Requirements for TDM 101
5.13 Pulse Shaping and Intersymbol Interference 101
5.14 Digital Carrier Modulation Systems 104
Chapter 6 Probability and Random Variables 128
6.1 Introduction 128
6.2 Probability 128
6.3 Random Variables 131
6.4 Two-Dimensional Random Variables 133
6.5 Functions of Random Variables 135
6.6 Statistical Averages 137
6.7 Special Distributions 138
Chapter 7 Random Processes 165
7.1 Introduction 165
7.2 Definitions and Notations of Random Processes 165
7.3 Statistics of Random Processes 165
7.4 Correlations and Power Spectral Densities 169
7.5 Transmission of Random Processes through Linear Systems 171
7.6 Special Classes of Random Processes 172
Chapter 8 Noise in Analog Communication Systems 202
8.1 Introduction 202
8.2 Additive Noise and Signal-to-Noise Ratio 202
8.3 Noise in Baseband Communication Systems 203
8.4 Noise in Amplitude Modulation Systems 204
8.5 Noise in Angle Modulation Systems 208
Chapter 9 Optimum Detection 226
9.1 Introduction 226
9.2 Binary Signal Detection and Hypothesis Testing 226
9.3 Probability of Error and Maximum Likelihood Detector 227
9.4 Optimum Detection 229
9.5 Error Probability Performance of Binary Transmission Systems 231
Chapter 10 Information Theory and Source Coding 245
10.1 Introduction 245
10.2 Measure of Information 245
10.3 Discrete Memoryless Channels 247
10.4 Mutual Information 250
10.5 Channel Capacity 251
10.6 Additive White Gaussian Noise Channel 252
10.7 Source Coding 253
10.8 Entropy Coding 255
Chapter 11 Error Control Coding 282
11.1 Introduction 282
11.2 Channel Coding 282
11.3 Block Codes 283
11.4 Linear Block Codes 283
11.5 Cyclic Codes 286
11.6 Convolutional Codes 290
11.7 Decoding of Convolutional Codes 295
Appendix A Fourier Transform 321
Appendix B Bessel Functions J[subscript n] ([beta]) 323
Appendix C The Complementary Error Function Q(z) 325
Index 327
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