Schaum's Outline and Digital Communications

Schaum's Outline and Digital Communications

Schaum's Outline and Digital Communications

Schaum's Outline and Digital Communications

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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.


Product Details

ISBN-13: 9780071402286
Publisher: McGraw Hill LLC
Publication date: 12/28/2002
Series: Schaum's Outline Series
Edition description: List
Pages: 336
Product dimensions: 8.40(w) x 10.70(h) x 0.80(d)

About 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.

Table of Contents

Chapter 1Signals and Spectra1
1.1Introduction1
1.2Fourier Series and Discrete Spectra1
1.3Fourier Transforms and Continuous Spectra2
1.4Properties of Fourier Transform3
1.5Fourier Transforms of Power Signals5
Chapter 2Signal Transmission and Filtering24
2.1Introduction24
2.2Impulse Response and Frequency Response24
2.3Filter Characteristics of LTI Systems26
2.4Transmission of Signals Through LTI Systems26
2.5Filters27
2.6Quadrature Filters and Hilbert Transforms29
Chapter 3Amplitude Modulation43
3.1Introduction43
3.2Amplitude Modulation43
3.3Double-Sideband Modulation44
3.4Ordinary Amplitude Modulation45
3.5Single-Sideband Modulation47
3.6Vestigial-Sideband Modulation49
3.7Frequency Translation and Mixing52
3.8Frequency-Division Multiplexing52
Chapter 4Angle Modulation68
4.1Introduction68
4.2Angle Modulation and Instantaneous Frequency68
4.3Phase and Frequency Modulation69
4.4Fourier Spectra of Angle-Modulated Signals70
4.5Narrowband Angle Modulation70
4.6Sinusoidal (or Tone) Modulation71
4.7Bandwidth of Angle-Modulated Signals71
4.8Generation of Angle-Modulated Signals72
4.9Demodulation of Angle-Modulated Signals74
Chapter 5Digital Transmission of Analog Signals90
5.1Introduction90
5.2Pulse Code Modulation90
5.3Sampling Theorem91
5.4Sampling91
5.5Pulse Amplitude Modulation93
5.6Quantizing93
5.7Encoding96
5.8Bandwidth Requirements of PCM96
5.9Delta Modulation97
5.10Signaling Format99
5.11Time-Division Multiplexing100
5.12Bandwidth Requirements for TDM101
5.13Pulse Shaping and Intersymbol Interference101
5.14Digital Carrier Modulation Systems104
Chapter 6Probability and Random Variables128
6.1Introduction128
6.2Probability128
6.3Random Variables131
6.4Two-Dimensional Random Variables133
6.5Functions of Random Variables135
6.6Statistical Averages137
6.7Special Distributions138
Chapter 7Random Processes165
7.1Introduction165
7.2Definitions and Notations of Random Processes165
7.3Statistics of Random Processes165
7.4Correlations and Power Spectral Densities169
7.5Transmission of Random Processes through Linear Systems171
7.6Special Classes of Random Processes172
Chapter 8Noise in Analog Communication Systems202
8.1Introduction202
8.2Additive Noise and Signal-to-Noise Ratio202
8.3Noise in Baseband Communication Systems203
8.4Noise in Amplitude Modulation Systems204
8.5Noise in Angle Modulation Systems208
Chapter 9Optimum Detection226
9.1Introduction226
9.2Binary Signal Detection and Hypothesis Testing226
9.3Probability of Error and Maximum Likelihood Detector227
9.4Optimum Detection229
9.5Error Probability Performance of Binary Transmission Systems231
Chapter 10Information Theory and Source Coding245
10.1Introduction245
10.2Measure of Information245
10.3Discrete Memoryless Channels247
10.4Mutual Information250
10.5Channel Capacity251
10.6Additive White Gaussian Noise Channel252
10.7Source Coding253
10.8Entropy Coding255
Chapter 11Error Control Coding282
11.1Introduction282
11.2Channel Coding282
11.3Block Codes283
11.4Linear Block Codes283
11.5Cyclic Codes286
11.6Convolutional Codes290
11.7Decoding of Convolutional Codes295
Appendix AFourier Transform321
Appendix BBessel Functions J[subscript n] ([beta])323
Appendix CThe Complementary Error Function Q(z)325
Index327
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