Digital Communication. Elements of Digital Communication and Information TheoryModel of a Digital communication, System, Probability theory and Random variables, Logarithmic measure of information, Entropy and information rate, Conditional entropy and redundancy, Source coding, Fixed and Variable length code words, Source coding theorem, Prefix coding and kraft inequality, Shannon Fanno and Huffman coding. Correlation Detector Decision. Differential phase shift keying, Quadrature modulation techniques QPSK, Probability of error and comparison of various digital modulation techniques. Error Control CodingError free communication over a noise channel, Hamming code, Relation between minimum distance and minimum distance error correcting capability, Linear block codes, Encoding and syndrome decoding, Cyclic codes, Encoder and Decoder for cyclic codes, Convolution codes, Tree diagram, state diagram and Trellis diagram, Viterbi and sequential decoding, Comparison of performance. Digital Communication J.
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Analog And Digital Communication
Digital Communication. Chitode J. IntroductionSources are signals, basic signal processing operations in digital communication, channels for digital communication. Sampling ProcessSampling Theorem, quadrature sampling of BP signal, reconstruction of a message from its samples, signal distortion in sampling, practical aspects of sampling and signal recovery, PAM, TDM. Base-band Shaping for Data Transmission Discrete PAM signals, power spectra of discrete PAM signals, ISI, Nyquist's criterion for distortionless base-band binary transmission, correlative coding, eye pattern, base-band M-ary PAM systems, adaptive equalization for data transmissionDigital Modulation TechniquesDigital modulation formats, coherent binary modulation techniques, coherent quadrature modulation techniques, Non-coherent binary modulation techniques, comparison of binary and quarternary modulation techniques, M-ary, modulation techniques, effect of ISI-bit versus symbol error probability, synchronization and applications. Detection and Estimation Gram-Schmidt Orthogonalization procedure, geometric interpretation of signals, response of bank of correlators to noisy input, detection of known signals in noise, probability of error, correlation receiver, matched filter receiver, detection of signals with unknown phase in noise, estimation : concept and criteria, maximum likelihood estimation. Spread Spectrum ModulationPseudo-noise sequences, notion of spread spectrum, direct sequence spread coherent binary PSK, signal space dimensionality and processing gain, probability of error, frequency hop spread spectrum, applications.
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Digital Communications by J.S.chitode
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