Accession Number : AD0780990

Title :   Balanced Convolutional Source and Channel Coding.

Descriptive Note : Final rept.,

Corporate Author : CALIFORNIA UNIV LOS ANGELES DEPT OF SYSTEM SCIENCES

Personal Author(s) : Viterbi,Andrew J.

Report Date : 31 MAY 1974

Pagination or Media Count : 29

Abstract : A convolutional source coding technique, which is the dual of the well-known maximum likelihood convolutional channel decoding algorithm, has been analyzed and its performance bounded in terms of the rate-distortion function. The source encoder is equivalent to a channel (trellis) decoder, while the source decoder is equivalent to a channel (shift register) encoder. Thus the complexity of the source encoder balances the simplicity of the channel encoder, while the simplicity of the source decoder balances the complexity of the channel decoder. Consequently, the transmitting and receiving terminals are almost symmetrical. (Modified author abstract)

Descriptors :   *Coding, *Data transmission systems, Decoding, Signal to noise ratio, Bandwidth, Probability density functions

Subject Categories : Cybernetics
      Non-radio Communications

Distribution Statement : APPROVED FOR PUBLIC RELEASE