Automatic taxonomy generation: Issues and possibilities
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003
Trellis coding is investigated for a class of N-user multiple-access channels. It is shown that N-user trellis coding, in conjunction with Viterbi or sequential decoding, permits the multiple-access function to be combined with forward error correction. The distance and rate properties are analyzed for linear (convolutional) N-user trellis codes, and the use of nonlinear N-user trellis coding is discussed. A procedure is given for constructing N-user convolutional-code N-tuples with large free distance. Finally the error performance is analyzed, and coding gains of several decibels over uncoded time sharing are verified by simulation results. © 1981 IEEE
Raghu Krishnapuram, Krishna Kummamuru
IFSA 2003
B.K. Boguraev, Mary S. Neff
HICSS 2000
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ICLR 2025
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