Contemporary communication systems using MATLAB and Simulink

Featuring a variety of applications that motivate students, this book serves as a companion or supplement to any of the comprehensive textbooks in communication systems. The book provides a variety of exercises that may be solved on the computer using MATLAB,,µ (The authors assume that the student is familiar with the fundamentals of MATLAB). By design, the treatment of the various topics is brief. The authors provide the motivation and a short introduction to each topic, establish the necessary notation, and then illustrate the basic concepts by means of an example.

1 Signals and Linear Systems	p. 1
1.1 Preview	p. 1
1.2 Fourier Series	p. 1
1.2.1 Periodic Signals and LTI Systems	p. 13
1.3 Fourier Transforms	p. 18
1.3.1 Sampling Theorem	p. 23
1.3.2 Frequency-Domain Analysis of LTI Systems	p. 28
1.4 Power and Energy	p. 32
1.5 Lowpass Equivalent of Bandpass Signals	p. 36
2 Random Processes	p. 45
2.1 Preview	p. 45
2.2 Generation of Random Variables	p. 45
2.3 Gaussian and Gauss-Markov Processes	p. 50
2.4 Power Spectrum of Random Processes and White Processes	p. 57
2.5 Linear Filtering of Random Processes	p. 62
2.6 Lowpass and Bandpass Processes	p. 68
2.7 Monte Carlo Simulation of Digital Communication Systems	p. 74
3 Analog Modulation	p. 81
3.1 Preview	p. 81
3.2 Amplitude Modulation (AM)	p. 81
3.2.1 DSB-AM	p. 82
3.2.2 Conventional AM	p. 91
3.2.3 SSB-AM	p. 98
3.3 Demodulation of AM Signals	p. 103
3.3.1 DSB-AM Demodulation	p. 103
3.3.2 SSB-AM Demodulation	p. 109
3.3.3 Conventional AM Demodulation	p. 114
3.4 Angle Modulation	p. 119
4 Analog-to-Digital Conversion	p. 132
4.1 Preview	p. 132
4.2 Measure of Information	p. 132
4.2.1 Noiseless Coding	p. 133
4.3 Quantization	p. 138
4.3.1 Scalar Quantization	p. 139
4.3.2 Vector Quantization	p. 148
4.3.3 Pulse-Code Modulation	p. 155
4.3.4 Uniform PCM	p. 155
5 Baseband Digital Transmission	p. 173
5.1 Preview	p. 173
5.2 Binary Signal Transmission	p. 173
5.2.1 Optimum Receiver for the AWGN Channel	p. 174
5.2.2 Other Binary Signal Transmission Methods	p. 184
5.2.3 Signal Constellation Diagrams for Binary Signals	p. 193
5.3 Multiamplitude Signal Transmission	p. 194
5.3.1 Signal Waveforms with Four Amplitude Levels	p. 194
5.3.2 Optimum Receiver for the AWGN Channel	p. 197
5.3.3 Signal Waveforms with Multiple Amplitude Levels	p. 203
5.4 Multidimensional Signals	p. 206
5.4.1 Multidimensional Orthogonal Signals	p. 207
5.4.2 Biorgthogonal Signals	p. 216
6 Digital Transmission Through Bandlimited Channels	p. 226
6.1 Preview	p. 226
6.2 The Power Spectrum of a Digital PAM Signal	p. 226
6.3 Characterization of Bandlimited Channels and Channel Distortion	p. 231
6.4 Characterization of Intersymbol Interference	p. 240
6.5 Communication System Design for Bandlimited Channels	p. 247
6.5.1 Signal Design for Zero ISI	p. 247
6.5.2 Signal Design for Controlled ISI	p. 252
6.5.3 Precoding for Detection of Partial Response Signals	p. 257
6.6 Linear Equalizers	p. 260
6.6.1 Adaptive Linear Equalizers	p. 268
6.7 Nonlinear Equalizers	p. 273
7 Digital Transmission via Carrier Modulation	p. 281
7.1 Preview	p. 281
7.2 Carrier-Amplitude Modulation	p. 281
7.2.1 Demodulation of PAM Signals	p. 284
7.3 Carrier-Phase Modulation	p. 287
7.3.1 Phase Demodulation and Detection	p. 290
7.3.2 Differential Phase Modulation and Demodulation	p. 296
7.4 Quadrature Amplitude Modulation	p. 303
7.4.1 Demodulation and Detection of QAM	p. 304
7.4.2 Probability of Error for QAM in an AWGN Channel	p. 306
7.5 Carrier-Frequency Modulation	p. 311
7.5.1 Frequency-Shift Keying	p. 311
7.5.2 Demodulation and Detection of FSK Signals	p. 313
7.5.3 Probability of Error for Noncoherent Detection of FSK	p. 318
7.6 Multicarrier Modulation and OFDM	p. 322
7.7 Synchronization in Communication Systems	p. 328
7.7.1 Carrier Synchronization	p. 328
7.7.2 Clock Synchronization	p. 334
8 Channel Capacity and Coding	p. 344
8.1 Preview	p. 344
8.2 Channel Model and Channel Capacity	p. 344
8.2.1 Channel Model	p. 345
8.2.2 Channel Capacity	p. 345
8.3 Channel Coding	p. 356
8.3.1 Linear Block Codes	p. 358
8.3.2 Convolutional Codes	p. 372
9 Spread Spectrum Communication Systems	p. 391
9.1 Preview	p. 391
9.2 Direct-Sequence Spread Spectrum Systems	p. 392
9.2.1 Signal Demodulation	p. 394
9.2.2 Probability of Error	p. 396
9.2.3 Two Applications of DS Spread Spectrum Signals	p. 397
9.3 Generation of PN Sequences	p. 403
9.4 Frequency-Hopped Spread Spectrum	p. 409
9.4.1 Probability of Error for FH Signals	p. 410
9.4.2 Use of Signal Diversity to Overcome Partial-Band Interference	p. 415
10 Simulink Tutorial on Digital Modulation Methods	p. 422
10.1 Preview	p. 422
10.2 Short Introduction to Simulink	p. 423
10.2.1 Example: BPSK Transmission	p. 423
10.3 Start the Tutorial	p. 430
10.4 Pulse Shaping	p. 431
10.4.1 Theory	p. 432
10.4.2 Experiments	p. 437
10.5 Binary Phase-Shift Keying (BPSK)	p. 443
10.5.1 Binary Phase Shift Keying with NRZ Rectangular Pulses	p. 445
10.5.2 Binary Phase Shift Keying with Raised-Cosine Pulses	p. 451
10.5.3 Binary Phase Shift Keying with Square-Root Raised-Cosine Pulses	p. 454
10.6 Quadrature Phase-Shift Keying (QPSK)	p. 457
10.6.1 Quadrature Phase-Shift Keying with Square-Root Raised-Cosine Pulses	p. 457
10.6.2 Phase and Frequency Offset	p. 461
10.7 Offset-QPSK	p. 466
10.7.1 Theory	p. 466
10.7.2 Experiments	p. 467
10.8 Minimum Shift Keying (MSK)	p. 471
10.8.1 Theory	p. 471
10.8.2 Experiments	p. 471
10.9 16-ary Quadrature Amplitude-Shift Keying (16-QAM)	p. 477
10.9.1 16-QAM with Square-Root Raised-Cosine Pulses	p. 477
10.9.2 16-QAM with Raised-Cosine Pulses	p. 481
Bibliography	p. 485
Index	p. 486

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