Digital CommunicationsOffers the most complete, up-to-date coverage available on the principles of digital communications. Focuses on basic issues, relating theory to practice wherever possible. Numerous examples, worked out in detail, have been included to help the reader develop an intuitive grasp of the theory. Topics covered include the sampling process, digital modulation techniques, error-control coding, robust quantization for pulse-code modulation, coding speech at low bit radio, information theoretic concepts, coding and computer communication. Because the book covers a broad range of topics in digital communications, it should satisfy a variety of backgrounds and interests, and offers a great deal of flexibility for teaching the course. The author has included suggested course outlines for courses at the undergraduate or graduate levels. |
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Accordingly algorithm amplitude assume average probability band-pass signal bandwidth baseband binary PSK binary sequence binary symmetric channel bit rate block code carrier channel capacity circuit code word coefficients coherent Consider convolutional code correlation corresponding cyclic code decoder defined denote detection dibit digital communications duration encoder entropy equal estimate Figure filter output follows Fourier transform frequency Hamming code Hence in-phase input binary input signal intersymbol interference interval layer linear low-pass M-ary M-ary PSK matched filter matrix message bits message points modulation modulo-2 multiplexer node noncoherent packet path phase PN sequence polynomial power spectral density probability density function probability of error probability of symbol Problem process X(t pulse QPSK quantizer random process random variable ratio received signal represented result sample value scheme shown in Fig signal g(t spectrum spread-spectrum symbol error theorem tion transmission transmitted signal trellis variance waveform zero mean