Quantized oversampled filter banks with erasures

P. L. Dragotti, J. Kovačević, V. K. Goyal

Research output: Contribution to journalConference article

Abstract

Oversampled filter banks can be used to enhance resilience to erasures in communication systems in much the same way that finite-dimensional frames have previously been applied. This paper extends previous finite dimensional treatments to frames and signals in l2(Z) with frame expansions that can be implemented efficiently with filter banks. It is shown that tight frames attain best performance. In particular, if encoding with a uniform frame, the quantization error is minimized if and only if the frame is tight. In case of one erasure and if encoding with a strongly uniform frame, tight frames are still optimal. In case of more erasures, an expression for the mean square error is given and some general considerations are presented.

Original languageEnglish (US)
Pages (from-to)173-182
Number of pages10
JournalData Compression Conference Proceedings
StatePublished - 2001
EventData Compression Conference - Snowbird, UT, United States
Duration: Mar 27 2001Mar 29 2001

ASJC Scopus subject areas

  • Computer Networks and Communications

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