Statistical mechanics of lossy data compression using a nonmonotonic perceptron

Tadaaki Hosaka, Yoshiyuki Kabashima, Hidetoshi Nishimori

研究成果: Article査読

30 被引用数 (Scopus)

抄録

The performance of a lossy data compression scheme for uniformly biased Boolean messages is investigated via methods of statistical mechanics. Inspired by a formal similarity to the storage capacity problem in neural network research, we utilize a perceptron of which the transfer function is appropriately designed in order to compress and decode the messages. Employing the replica method, we analytically show that our scheme can achieve the optimal performance known in the framework of lossy compression in most cases when the code length becomes infinite. The validity of the obtained results is numerically confirmed.

本文言語English
ページ数1
ジャーナルPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
66
6
DOI
出版ステータスPublished - 2002 12 18
外部発表はい

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics
  • Condensed Matter Physics
  • Physics and Astronomy(all)

フィンガープリント 「Statistical mechanics of lossy data compression using a nonmonotonic perceptron」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル