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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Modified Wigner distribution function ： ウィキペディア英語版 Modified Wigner distribution function :''Note: the Wigner distribution function is abbreviated here as WD rather than WDF as used at Wigner distribution function'' 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 : :$C\_x(t,\; f)=\backslash int\_^\backslash int\_^W\_x(\backslash theta,\backslash nu)\; \backslash Pi(t\; -\; \backslash theta,f\; -\; \backslash nu)\backslash ,\; d\backslash theta\backslash ,\; d\backslash nu\; \backslash quad\; =\; ()\; (t,f)$ where $\backslash Pi\; \backslash left(t,\; f\backslash right)$ 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. == Mathematical definition == *Wigner distribution :$W\_x(t,f)\; =\; \backslash int\_^\backslash infty\; x(t+\backslash tau/2)\; x^$ *(t-\tau/2) e^ \, d\tau Cohen's kernel function : $\backslash Pi\; (t,f)\; =\; \backslash delta\_\; (t,f)$ *Spectrogram :$SP\_x\; (t,f)\; =\; |ST\_x\; (t,f)|^2\; =\; ST\_x\; (t,f)\backslash ,ST\_x^$ * (t,f) where $ST\_x$ is the short-time Fourier transform of $x$. :$ST\_x(t,f)\; =\; \backslash int\_^\backslash infty\; x(\backslash tau)\; w^$ *(t-\tau) e^ \, d\tau Cohen's kernel function : $\backslash Pi\; (t,f)\; =\; W\_h(t,f)$ which is the WD of the window function itself. This can be verified by applying the convolution property of the Wigner distribution function. The spectrogram cannot produce interference since it is a positive-valued quadratic distribution. *Pseudo Wigner distribution :$PW\_x(t,f)\; =\; \backslash int\_^\backslash infty\; w(\backslash tau/2)\; w^$ *(-\tau/2) x(t+\tau/2) x^ *(t-\tau/2) e^ \, d\tau Cohen's kernel function : $\backslash Pi\; (t,f)\; =\; \backslash delta\_0\; (t)\backslash ,W\_h(t,f)$ which is concentred on the frequency axis. Note that the pseudo Wigner can also be written as the Fourier transform of the “spectral-correlation” of the STFT :$PW\_x(t,f)\; =\; \backslash int\_^\backslash infty\; ST\_x(t,\; f+\backslash nu/2)\; ST\_x^$ *(t, f-\nu/2) e^ \, d\nu *Smoothed pseudo Wigner distribution : In the pseudo Wigner the time windowing acts as a frequency direction smoothing. Therefore, it suppresses the Wigner distribution interference components that oscillate in the frequency direction. Time direction smoothing can be implemented by a time-convolution of the PWD with a lowpass function $q$ : :$SPW\_x(t,f)\; =\; (q\backslash ,\backslash ast\backslash ,\; PW\_x\; (.,f))\; (t)\; =\; \backslash int\_^\backslash infty\; q(t-u)\; \backslash int\_^\backslash infty\; w(\backslash tau/2)\; w^$ *(-\tau/2) x(u+\tau/2) x^ *(u-\tau/2) e^ \, d\tau\, du Cohen's kernel function : $\backslash Pi\; (t,f)\; =\; q(t)\backslash ,\; W(f)$ where $W$ is the Fourier transform of the window $w$. Thus the kernel corresponding to the smoothed pseudo Wigner distribution has a separable form. Note that even if the SPWD and the S-Method both smoothes the WD in the time domain, they are not equivalent in general. *S-method :$SM(t,f)\; =\; \backslash int\_^\backslash infty\; ST\_x(t,\; f+\backslash nu/2)\; ST\_x^$ *(t, f-\nu/2) G(\nu) e^ \, d\nu Cohen's kernel function : $\backslash Pi\; (t,f)\; =\; g(t)\backslash ,\; W\_h(t,f)$ The S-method limits the range of the integral of the PWD with a low-pass windowing function $g(t)$ of Fourier transform $G(f)$. This results in the cross-term removal, without blurring the auto-terms that are well-concentred along the frequency axis. The S-method strikes a balance in smoothing between the pseudo-Wigner distribution $PW\_x$ (= 1 ) and the power spectrogram $SP\_x$ (= \delta_0 (t) ). Note that in the original 1994 paper, Stankovic defines the S-methode with a modulated version of the short-time Fourier transform : :$SM(t,f)\; =\; \backslash int\_^\backslash infty\; \backslash tilde\_x(t,f+\backslash nu)\; \backslash tilde\_x^$ *(t,f-\nu) P(\nu)\, d\nu where :$\backslash tilde\_x(t,f)\; =\; \backslash int\_^\backslash infty\; x(t+\backslash tau)\; w^$ *(\tau) e^ \, d\tau \quad = ST_x(t,f)\,e^ Even in this case we still have : $\backslash Pi\; (t,f)\; =\; p(2t)\backslash ,\; W\_h(t,f)$ 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「Modified Wigner distribution function」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.