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- Choi–Williams_distribution_function abstract "Choi–Williams distribution function is one of the members of Cohen's class distribution function. 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 result form the components differ in both time and frequency center.".
- Choi–Williams_distribution_function wikiPageID "15253718".
- Choi–Williams_distribution_function wikiPageRevisionID "551334877".
- Choi–Williams_distribution_function subject Category:Time–frequency_analysis.
- Choi–Williams_distribution_function subject Category:Transforms.
- Choi–Williams_distribution_function comment "Choi–Williams distribution function is one of the members of Cohen's class distribution function. 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.".
- Choi–Williams_distribution_function label "Choi–Williams distribution function".
- Choi–Williams_distribution_function sameAs Choi%E2%80%93Williams_distribution_function.
- Choi–Williams_distribution_function sameAs Q5104099.
- Choi–Williams_distribution_function sameAs Q5104099.
- Choi–Williams_distribution_function wasDerivedFrom Choi–Williams_distribution_function?oldid=551334877.