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Variable Length Compression of Codeword Indices for Lossy Compression

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2 Author(s)
Baron, D. ; Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA ; Jacob, T.

Many problems in information theory feature an index into a random codebook being encoded with a fixed length scheme. We propose to purposefully select the index in a manner that skews its distribution, thus making variable length entropy coding of the index more attractive. In an application to lossy compression of a Bernoulli source, we illustrate that variable length coding yields a reduction in the rate over fixed length coding, and allows to reach a requisite rate distortion performance level using a smaller codebook.

Published in:

Signal Processing Letters, IEEE  (Volume:19 ,  Issue: 12 )

Date of Publication:

Dec. 2012

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