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Choi–Williams distribution function is one of the members of Cohen's class distribution function.〔E. Sejdić, I. Djurović, J. Jiang, “Time-frequency feature representation using energy concentration: An overview of recent advances,” ''Digital Signal Processing'', vol. 19, no. 1, pp. 153-183, January 2009.〕 It was first proposed by Hyung-Ill Choi and William J. Williams in 1989. This distribution function adopts exponential kernel to suppress the cross-term. However, the kernel gain does not decrease along the axes in the ambiguity domain. Consequently, the kernel function of Choi–Williams distribution function can only filter out the cross-terms that result from the components that differ in both time and frequency center. == Mathematical definition == The definition of the cone-shape distribution function is shown as follows: : where : and the kernel function is: : Following are the magnitude distribution of the kernel function in domain with different values. As we can see from the figure above, the kernel function indeed suppress the interference which is away from the origin, but for the cross-term locates on the and axes, this kernel function can do nothing about it. 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Choi–Williams distribution function」の詳細全文を読む スポンサード リンク
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