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Titlebook: Coded-Modulation Techniques for Fading Channels; S. Hamidreza Jamali,Tho Le-Ngoc Book 1994 Springer Science+Business Media New York 1994 M

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Digital Transmission Over Fading Channels,is discussion by showing that the potential coding gain for bandwidth-efficient coded-modulation schemes over a Rayleigh fading channel is much more than that of the Additive White Gaussian Noise (AWGN) channel.
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Differential Detection of Coded-Modulation Schemes on a Fading Channel, schemes on fading channel for . technique. Although this technique degrades the performance of the system, it has a clear advantage over coherent detection in that it avoids the need for generating a carrier demodulation reference at the receiver.
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Lidong Chen,David McGrew,Chris Mitchellits inherent, non-redundant coding structure is used to construct its MLSE receiver. Results obtained from the previous chapters are used to analyze the performance of QPOM schemes. Variants of QPOM schemes with good spectral properties suitable to applications using nonlinear or saturated power amplifiers are also introduced.
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Quadrature Pulse-Overlapping Modulation Techniques,its inherent, non-redundant coding structure is used to construct its MLSE receiver. Results obtained from the previous chapters are used to analyze the performance of QPOM schemes. Variants of QPOM schemes with good spectral properties suitable to applications using nonlinear or saturated power amplifiers are also introduced.
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Book 1994n techniques in fading channels.The book systematically presents recent developments in the field,which has grown rapidly in recent years, and provides a solid frame ofreference for further research in this area. .During the past decade there has been a proliferation of research inthe area of bandwi
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https://doi.org/10.1057/9781137365491distance profile for these codes. The Viterbi algorithm, as a maximum likelihood decoding technique for convolutional codes, is explained. Finally, we use the generating functions to obtain an upper bound on the bit error probability of the maximum likelihood decoding of convolutional codes.
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