Proceedings. 19th IEEE Annual Conference on Computational Complexity, 2004.
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Abstract

We study the compression of polynomially samplable sources. In particular, we give efficient prefix-free compression and decompression algorithms for three classes of such sources (whose support is a subset of {0, 1}^n). 1. We show how to compress sources X samplable by logspace machines to expected length H(X) + O(1). Our next results concern flat sources whose support is in P. 2. If H(X) ≤ k = n - O(log n), we show how to compress to length k + δ ⋅ (n - k) for any constant ?δ > 0; in quasi-polynomial time we show how to compress to length k + O(polylog log(n - k)) even if k = n - polylog(n). 3. If the support of X is the witness set for a self-reducible NP relation, then we show how to compress to expected length H(X) + 4.
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