(Enter summary)
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
l
2 (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... (Update)
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BibTeX entry: (Update)
P. L. Dragotti, V. K Goyal, and J. Kovaevid. Quantized oversampled filter banks with erasures. Technical report, Bell Laboratories, Lucent Technologies, 2000. http://citeseer.ist.psu.edu/dragotti00quantized.html More
@inproceedings{ dragotti01quantized,
author = "Pier Luigi Dragotti and Jelena Kovacevic and Vivek K. Goyal",
title = "Quantized Oversampled Filter Banks with Erasures",
booktitle = "Data Compression Conference",
pages = "173-182",
year = "2001",
url = "citeseer.ist.psu.edu/dragotti00quantized.html" }
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