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Optimal digital communication of analog signals

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Title: Optimal digital communication of analog signals
Author: Memarzadeh, Mahsa; Johnson, Don
Type: Conference Paper
Keywords: Multicarrier modulation; optimal distortion; analog signals
Citation: M. Memarzadeh and D. Johnson,"Optimal digital communication of analog signals," in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP),
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.
Date Published: 2005-03-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.