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dc.contributor.authorMemarzadeh, Mahsa
Johnson, Don
dc.creatorMemarzadeh, Mahsa
Johnson, Don 2007-10-31T00:53:04Z 2007-10-31T00:53:04Z 2005-03-01 2005-03-01
dc.description Conference Paper
dc.description.abstract In this paper, the problem of optimally communicating analog sources using a bandwidth and power limited digital system is considered. We propose and analyze optimal combined source-channel coding schemes that jointly optimize the compression of the source while controlling the individual bit error probabilities to minimize the mean-squared distortion in reconstructing the signal. For a spectrally shaped channel, the proposed schemes are most efficiently implemented using multicarrier modulation. We optimize the power allocation across subchannels and the constellation within each subchannel. The results indicate that the optimal power allocation is not achieved by a water-filling solution and significant gains (several dB) can be obtained by our optimal design.
dc.language.iso eng
dc.subjectMulticarrier modulation
optimal distortion
analog signals
dc.subject.otherDSP for Communications
dc.title Optimal digital communication of analog signals
dc.type Conference paper 2004-09-20
dc.citation.bibtexName inproceedings 2004-09-22
dc.contributor.orgDigital Signal Processing (
dc.subject.keywordMulticarrier modulation
optimal distortion
analog signals
dc.citation.conferenceName IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation M. Memarzadeh and D. Johnson, "Optimal digital communication of analog signals," 2005.

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1287]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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