Introduction to communication systems
Features Explanations of practical communication systems presented in the context of theory. Over 300 excellent illustrations help students visualize difficult concepts and demonstrate practical applications. Over 120 worked-out examples promote mastery of new concepts, plus over 130 drill problems with answers extend these principles. A wide variety of problems, all new to this edition -- including realistic applications, computer-based problems, and design problems. Coverage of current topics of interest, such as fiber optics, spread spectrum systems and Integrated Digital Services Networks.
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Orthogonality and Signal Representations
The Fourier Transform and Applications
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amplifier amplitude modulation antenna approximation assume autocorrelation function average power band-limited bandpass bandwidth binary carrier frequency channel Chapter circuit codeword coefficients color communication systems Compute convolution demodulation detection Determine Drill Problem DSB-SC encoder energy envelope detector equal equation Example finite Fourier series Fourier transform frequency components frequency transfer function gaussian given impulse function impulse response input signal integral interval linear loop low-pass filter M-ary magnitude matched filter maximum method minimum modulating signal modulation index multiplexing noise power operation orthogonal output peak frequency deviation periodic phase phasor possible power spectral density probability density function probability of error pulse QPSK quadrature quantization random variable receiver representation resistor result sample sequence shown in Fig sideband signal-to-noise ratio sinusoidal Solution spectrum stereo synchronization transmission transmitted voltage waveform width zero
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Radar Systems Analysis and Design Using MATLAB Second Edition
Bassem R. Mahafza
Limited preview - 2005