Communication systemsThis bestselling, easy to read, communication systems book has been extensively revised to include an exhaustive treatment of digital communications. Throughout, it emphasizes the statistical underpinnings of communication theory in a complete and detailed manner. New features include MATLAB computer experiments that demonstrate important aspects of communication theory; Expanded coverage of emerging digital technologies, such as digital subscriber lines (DSL), carrierless amplitude modulation/phase modulation (CAP), and discrete multitone (DMT); Dozens of examples that relate theory to realworld communication systems. Superbly organized, the text skillfully guides students through topics ranging from pulse modulation to passband digital transmission, and from random processes to errorcontrol coding. Throughout, Haykin presents difficult concepts in language that students can easily understand. 
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comm system
Contents
Background and Preview  1 
Chapter 2 ContinuousWave Modulation  88 
Chapter 1  94 
Copyright  
11 other sections not shown
Common terms and phrases
algorithm amplitude amplitude modulation antenna assume autocorrelation function average probability AWGN bandwidth baseband binary data binary PSK binary sequence bit rate carrier frequency carrier wave channel bandwidth channel noise channel output Chapter coherent binary communication system corresponding decoder defined delta modulation demodulation denote detector dibit duobinary encoder envelope envelope detector equal Equation filter output FM signal follows Fourier transform frequency fc frequency response FSK signal impulse response intersymbol interference interval linear Mary Mary PSK matched filter message points message signal modem modulated signal multiplexing narrowband noncoherent Nyquist operation parameter passband phaseshift keying PN sequence power spectral density probability of error probability of symbol QPSK quadrature components quantizer random process random variable received signal represented result shown in Figure signal constellation signal m(t signaltonoise ratio sinusoidal spectrum spreadspectrum subchannels symbol error synchronization theorem transmitted signal vector waveform white Gaussian noise