A Parameter Estimation Method for K-Distribution(Sensing)

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概要

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• Estimating the parameters of a statistical distribution from measured sample values forms an essential part of many signal processing tasks. K-distribution has been proven to be an appropriate model for characterising the amplitude of sea clutter. In this paper, a new method for estimating the parameters of K-Distribution is proposed. The method greatly lowers the computational requirement and variance of parameter estimates when compared with the existing non-maximum likelihood methods.

• 社団法人電子情報通信学会の論文
• 2004-10-01

著者

• Marhaban Mohammad

  Faculty Of Engineering Universiti Putra Malaysia

関連論文

• Modified minimum-maximum exclusive mean filter
• A Parameter Estimation Method for K-Distribution(Sensing)

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