J. Phys. Soc. Jpn. 74 (2005) pp. 488-497 |Next Article| |Table of Contents|
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Statistical Mechanical Approach to Error Exponents of Lossy Data Compression
Tadaaki Hosaka and
Yoshiyuki Kabashima
Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Nagatsuta-cho, Midori-ku, Yokohama 226-8502
(Received September 24, 2004)
We present a scheme to accurately evaluate the error exponents of a lossy data compression problem, which characterize average probabilities over a code ensemble of compression failure and success above or below a critical compression rate, respectively, utilizing the replica method (RM). Although the existing method used in information theory (IT) is, in practice, limited to ensembles of randomly constructed codes, the proposed RM-based approach can be applied to a wider class of ensembles. This approach reproduces the optimal expressions of the error exponents achieved by the random code ensembles, which are known in IT. In addition, the proposed framework is used to show that codes composed of non-monotonic perceptrons of a specific type can provide the optimal exponents in most cases, which is supported by numerical experiments.
©2005 The Physical Society of Japan
KEYWORDS:
error exponent, lossy data compression, replica method, random code ensemble, perceptron
URL:
http://jpsj.ipap.jp/link?JPSJ/74/488/
DOI: 10.1143/JPSJ.74.488
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