Estimation of Optimal Parameter in ε-Filter Based on Signal-Noise Decorrelation

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概要

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• ε-filter is a nonlinear filter for reducing noise and is applicable not only to speech signals but also to image signals. The filter design is simple and it can effectively reduce noise with an adequate filter parameter. This paper presents a method for estimating the optimal filter parameter of ε-filter based on signal-noise decorrelation and shows that it yields the optimal filter parameter concerning a wide range of noise levels. The proposed method is applicable where the noise to be removed is uncorrelated with signal, and it does not require any other knowledge such as noise variance and training data.

• （社）電子情報通信学会の論文
• 2009-06-01

著者

• Matsumoto Mitsuharu

  Education And Research Center For Frontier Science The University Of Electro-communications

• Hashimoto Shuji

  Faculty Of Science And Engineering Waseda University

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