A Modified Wigner distribution function is a variation of the Wigner distribution function (WD) with reduced or removed cross-terms. The Wigner distribution (WD) was first proposed for corrections to classical statistical mechanics in 1932 by Eugene Wigner. The Wigner distribution function, or Wigner–Ville distribution (WVD) for analytic signals, also has applications in time frequency analysis. The Wigner distribution gives better auto term localisation compared to the smeared out spectrogram (SP). However, when applied to a signal with multi frequency components, cross terms appear due to its quadratic nature. Several methods have been proposed to reduce the cross terms. For example, in 1994 L. Stankovic proposed a novel technique, now mostly referred to as S-method, resulting in the red
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| - Modified Wigner distribution function (en)
- 改進型韋格納分佈 (zh)
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| - 改進型韋格納分佈(modified Wigner distribution function)，用於時頻分析的一種方法，屬於信號處理的範疇。它改進了韋格納分佈原有的相交項(cross term)的問題。韋格納分佈是西元1932年由尤金·維格納所提出用於古典力學，但是亦可用於時頻分析。韋格納分佈與短時距傅立葉變換都可用於時頻分析，雖然前者通常擁有較高的解析度且有良好的數學特性，但當有兩個以上的信號成分時，韋格納分佈就會出現相交項問題，這在應用上造成很大的困擾。因此在西元1995年,L. J. Stankovic和S. Stankovic提出了改進型韋格納分佈，以修正韋格納分佈中會出現的相交項問題。 (zh)
- A Modified Wigner distribution function is a variation of the Wigner distribution function (WD) with reduced or removed cross-terms. The Wigner distribution (WD) was first proposed for corrections to classical statistical mechanics in 1932 by Eugene Wigner. The Wigner distribution function, or Wigner–Ville distribution (WVD) for analytic signals, also has applications in time frequency analysis. The Wigner distribution gives better auto term localisation compared to the smeared out spectrogram (SP). However, when applied to a signal with multi frequency components, cross terms appear due to its quadratic nature. Several methods have been proposed to reduce the cross terms. For example, in 1994 L. Stankovic proposed a novel technique, now mostly referred to as S-method, resulting in the red (en)
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| - A Modified Wigner distribution function is a variation of the Wigner distribution function (WD) with reduced or removed cross-terms. The Wigner distribution (WD) was first proposed for corrections to classical statistical mechanics in 1932 by Eugene Wigner. The Wigner distribution function, or Wigner–Ville distribution (WVD) for analytic signals, also has applications in time frequency analysis. The Wigner distribution gives better auto term localisation compared to the smeared out spectrogram (SP). However, when applied to a signal with multi frequency components, cross terms appear due to its quadratic nature. Several methods have been proposed to reduce the cross terms. For example, in 1994 L. Stankovic proposed a novel technique, now mostly referred to as S-method, resulting in the reduction or removal of cross terms. The concept of the S-method is a combination between the spectrogram and the Pseudo Wigner Distribution (PWD), the windowed version of the WD. The original WD, the spectrogram, and the modified WDs all belong to the Cohen's class of bilinear time-frequency representations : where is Cohen's kernel function, which is often a low-pass function, and normally serves to mask out the interference in the original Wigner representation. (en)
- 改進型韋格納分佈(modified Wigner distribution function)，用於時頻分析的一種方法，屬於信號處理的範疇。它改進了韋格納分佈原有的相交項(cross term)的問題。韋格納分佈是西元1932年由尤金·維格納所提出用於古典力學，但是亦可用於時頻分析。韋格納分佈與短時距傅立葉變換都可用於時頻分析，雖然前者通常擁有較高的解析度且有良好的數學特性，但當有兩個以上的信號成分時，韋格納分佈就會出現相交項問題，這在應用上造成很大的困擾。因此在西元1995年,L. J. Stankovic和S. Stankovic提出了改進型韋格納分佈，以修正韋格納分佈中會出現的相交項問題。 (zh)
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