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Statistical multiresolution analysis in amplitude-frequency domain

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Abstract

A concept of statistical multiresolution analysis in amplitude-frequency domain is proposed, which is to employ the wavelet transform on the statistical character of a signal in amplitude domain. In terms of the theorem of generalized ergodicity, an algorithm to estimate the transform coefficients based on the amplitude statistical multiresolution analysis (AMA) is presented. The principle of applying the AMA to Synthetic Aperture Radar (SAR) image processing is described, and the good experimental results imply that the AMA is an efficient tool for processing of speckled signals modeled by the multiplicative noise.

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Authors and Affiliations

  1. School of Electronic Information, Wuhan University, LIESMARS, 430072, Wuhan, China

    Sun Hong & Guan Bao

  2. Departement de TSI, Ecole Nationnale Superieure des Telecommunication, 75013, Paris, France

    Maitre Henri

Authors
  1. Sun Hong
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  2. Guan Bao
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  3. Maitre Henri
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Correspondence to Sun Hong.

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Sun, H., Guan, B. & Maitre, H. Statistical multiresolution analysis in amplitude-frequency domain. Sci China Ser F 47, 518–526 (2004). https://doi.org/10.1007/BF02901661

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  • DOI: https://doi.org/10.1007/BF02901661

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