This best-selling, 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 multi-tone (DMT); Dozens of examples that relate theory to real-world communication systems. Superbly organized, the text skillfully guides students through topics ranging from pulse modulation to passband digital transmission, and from random processes to error-control coding. Throughout, Haykin presents difficult concepts in language that students can easily understand.
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Chapter 2 ContinuousWave Modulation
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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 M-ary M-ary PSK matched filter message points message signal modem modulated signal multiplexing narrowband noncoherent Nyquist operation parameter passband phase-shift 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 signal-to-noise ratio sinusoidal spectrum spread-spectrum subchannels symbol error synchronization theorem transmitted signal vector waveform white Gaussian noise