Schaum's outline of theory and problems of analog and digital communications /

By: Hsu, Hwei PMaterial type: TextTextPublication details: New Delhi : McGraw-Hill, 2003Edition: 2nd edDescription: vi, 330 p. : illISBN: 9780071402286; 007058611XSubject(s): Signal theory (Telecommunication) | Modulation theoryDDC classification: 621.382 Online resources: Click here to access online | Click here to access online
Contents:
Chapter 1. Signals and Spectra -- 1.1. Introduction -- 1.2. Fourier Series and Discrete Spectra -- 1.3. Fourier Transforms and Continuous Spectra -- 1.4. Properties of Fourier Transform -- 1.5. Fourier Transforms of Power Signals -- Chapter 2. Signal Transmission and Filtering -- 2.1. Introduction -- 2.2. Impulse Response and Frequency Response -- 2.3. Filter Characteristics of LTI Systems -- 2.4. Transmission of Signals Through LTI Systems -- 2.5. Filters -- 2.6. Quadrature Filters and Hilbert Transforms -- Chapter 3. Amplitude Modulation -- 3.1. Introduction -- 3.2. Amplitude Modulation -- 3.3. Double-Sideband Modulation -- 3.4. Ordinary Amplitude Modulation -- 3.5. Single-Sideband Modulation -- 3.6. Vestigial-Sideband Modulation -- 3.7. Frequency Translation and Mixing -- 3.8. Frequency-Division Multiplexing -- Chapter 4. Angle Modulation -- 4.1. Introduction -- 4.2. Angle Modulation and Instantaneous Frequency -- 4.3. Phase and Frequency Modulation -- 4.4. Fourier Spectra of Angle-Modulated Signals -- 4.5. Narrowband Angle Modulation -- 4.6. Sinusoidal (or Tone) Modulation -- 4.7. Bandwidth of Angle-Modulated Signals -- 4.8. Generation of Angle-Modulated Signals -- 4.9. Demodulation of Angle-Modulated Signals -- Chapter 5. Digital Transmission of Analog Signals -- 5.1. Introduction -- 5.2. Pulse Code Modulation -- 5.3. Sampling Theorem -- 5.4. Sampling -- 5.5. Pulse Amplitude Modulation -- 5.6. Quantizing -- 5.7. Encoding -- 5.8. Bandwidth Requirements of PCM -- 5.9. Delta Modulation -- 5.10. Signaling Format -- 5.11. Time-Division Multiplexing -- 5.12. Bandwidth Requirements for TDM -- 5.13. Pulse Shaping and Intersymbol Interference -- 5.14. Digital Carrier Modulation Systems -- Chapter 6. Probability and Random Variables -- 6.1. Introduction -- 6.2. Probability -- 6.3. Random Variables -- 6.4. Two-Dimensional Random Variables -- 6.5. Functions of Random Variables -- 6.6. Statistical Averages -- 6.7. Special Distributions -- Chapter 7. Random Processes -- 7.1. Introduction -- 7.2. Definitions and Notations of Random Processes -- 7.3. Statistics of Random Processes -- 7.4. Correlations and Power Spectral Densities -- 7.5. Transmission of Random Processes through Linear Systems -- 7.6. Special Classes of Random Processes -- Chapter 8. Noise in Analog Communication Systems -- 8.1. Introduction -- 8.2. Additive Noise and Signal-to-Noise Ratio -- 8.3. Noise in Baseband Communication Systems -- 8.4. Noise in Amplitude Modulation Systems -- 8.5. Noise in Angle Modulation Systems -- Chapter 9. Optimum Detection -- 9.1. Introduction -- 9.2. Binary Signal Detection and Hypothesis Testing -- 9.3. Probability of Error and Maximum Likelihood Detector -- 9.4. Optimum Detection -- 9.5. Error Probability Performance of Binary Transmission Systems -- Chapter 10. Information Theory and Source Coding -- 10.1. Introduction -- 10.2. Measure of Information -- 10.3. Discrete Memoryless Channels -- 10.4. Mutual Information -- 10.5. Channel Capacity -- 10.6. Additive White Gaussian Noise Channel -- 10.7. Source Coding -- 10.8. Entropy Coding -- Chapter 11. Error Control Coding -- 11.1. Introduction -- 11.2. Channel Coding -- 11.3. Block Codes -- 11.4. Linear Block Codes -- 11.5. Cyclic Codes -- 11.6. Convolutional Codes -- 11.7. Decoding of Convolutional Codes -- Appendix A. Fourier Transform -- Appendix B. Bessel Functions J[subscript n] ([beta]) -- Appendix C. The Complementary Error Function Q(z) -- Index.
Summary: Schaum's Outlines present 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.
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Includes index.

Chapter 1. Signals and Spectra --
1.1. Introduction --
1.2. Fourier Series and Discrete Spectra --
1.3. Fourier Transforms and Continuous Spectra --
1.4. Properties of Fourier Transform --
1.5. Fourier Transforms of Power Signals --
Chapter 2. Signal Transmission and Filtering --
2.1. Introduction --
2.2. Impulse Response and Frequency Response --
2.3. Filter Characteristics of LTI Systems --
2.4. Transmission of Signals Through LTI Systems --
2.5. Filters --
2.6. Quadrature Filters and Hilbert Transforms --
Chapter 3. Amplitude Modulation --
3.1. Introduction --
3.2. Amplitude Modulation --
3.3. Double-Sideband Modulation --
3.4. Ordinary Amplitude Modulation --
3.5. Single-Sideband Modulation --
3.6. Vestigial-Sideband Modulation --
3.7. Frequency Translation and Mixing --
3.8. Frequency-Division Multiplexing --
Chapter 4. Angle Modulation --
4.1. Introduction --
4.2. Angle Modulation and Instantaneous Frequency --
4.3. Phase and Frequency Modulation --
4.4. Fourier Spectra of Angle-Modulated Signals --
4.5. Narrowband Angle Modulation --
4.6. Sinusoidal (or Tone) Modulation --
4.7. Bandwidth of Angle-Modulated Signals --
4.8. Generation of Angle-Modulated Signals --
4.9. Demodulation of Angle-Modulated Signals --
Chapter 5. Digital Transmission of Analog Signals --
5.1. Introduction --
5.2. Pulse Code Modulation --
5.3. Sampling Theorem --
5.4. Sampling --
5.5. Pulse Amplitude Modulation --
5.6. Quantizing --
5.7. Encoding --
5.8. Bandwidth Requirements of PCM --
5.9. Delta Modulation --
5.10. Signaling Format --
5.11. Time-Division Multiplexing --
5.12. Bandwidth Requirements for TDM --
5.13. Pulse Shaping and Intersymbol Interference --
5.14. Digital Carrier Modulation Systems --
Chapter 6. Probability and Random Variables --
6.1. Introduction --
6.2. Probability --
6.3. Random Variables --
6.4. Two-Dimensional Random Variables --
6.5. Functions of Random Variables --
6.6. Statistical Averages --
6.7. Special Distributions --
Chapter 7. Random Processes --
7.1. Introduction --
7.2. Definitions and Notations of Random Processes --
7.3. Statistics of Random Processes --
7.4. Correlations and Power Spectral Densities --
7.5. Transmission of Random Processes through Linear Systems --
7.6. Special Classes of Random Processes --
Chapter 8. Noise in Analog Communication Systems --
8.1. Introduction --
8.2. Additive Noise and Signal-to-Noise Ratio --
8.3. Noise in Baseband Communication Systems --
8.4. Noise in Amplitude Modulation Systems --
8.5. Noise in Angle Modulation Systems --
Chapter 9. Optimum Detection --
9.1. Introduction --
9.2. Binary Signal Detection and Hypothesis Testing --
9.3. Probability of Error and Maximum Likelihood Detector --
9.4. Optimum Detection --
9.5. Error Probability Performance of Binary Transmission Systems --
Chapter 10. Information Theory and Source Coding --
10.1. Introduction --
10.2. Measure of Information --
10.3. Discrete Memoryless Channels --
10.4. Mutual Information --
10.5. Channel Capacity --
10.6. Additive White Gaussian Noise Channel --
10.7. Source Coding --
10.8. Entropy Coding --
Chapter 11. Error Control Coding --
11.1. Introduction --
11.2. Channel Coding --
11.3. Block Codes --
11.4. Linear Block Codes --
11.5. Cyclic Codes --
11.6. Convolutional Codes --
11.7. Decoding of Convolutional Codes --
Appendix A. Fourier Transform --
Appendix B. Bessel Functions J[subscript n] ([beta]) --
Appendix C. The Complementary Error Function Q(z) --
Index.

Schaum's Outlines present 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.

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