Fundamentals of Communication Systems
For one- or two-semester, senior-level undergraduate courses in Communication Systems for Electrical and Computer Engineering majors. This text introduces the basic techniques used in modern communication systems and provides fundamental tools and methodologies used in the analysis and design of these systems. The authors emphasize digital communication systems, including new generations of wireless communication systems, satellite communications, and data transmission networks. A background in calculus, linear algebra, basic electronic circuits, linear system theory, and probability and random variables is assumed.
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SIGNALS AND LINEAR SYSTEMS
AMPLITUDE MODULA TION
ANGLE MODULA TION
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additive noise algorithm amplitude amplitude modulation antenna assume AWGN bandpass bandwidth baseband binary block diagram carrier channel bandwidth codeword coefficients compute convolutional code correlation corresponding decoding defined demodulator denoted detector Determine distance DSB-SC encoder energy entropy equal error probability Example Fourier transform frequency response Gaussian random variables given by Equation Hence Huffman code illustrated in Figure impulse response input interval linear lowpass filter LTI system M-ary matched filter modulated signal modulation index multipath obtain OFDM orthogonal signals PAM signal performance periodic signal phase plot power spectral density probability of error pulse quantization radio random process random variable received signal receiving filter result sampling shown in Figure signal constellation signal points signal waveforms signal x(t sinusoidal source output spectrum spread-spectrum SQNR subchannel theorem transmission transmitted signal trellis values variance vector waveforms white Gaussian noise zero zero-mean