Variational Mode Decomposition
Variationally decompose a 1D signal into k band-separated modes.
現在この提出コンテンツをフォロー中です。
- フォローしているコンテンツ フィードに更新が表示されます。
- コミュニケーション基本設定に応じて電子メールを受け取ることができます
Spectrum-based decomposition of a 1D input signal into k band-separated modes. Here, we propose an entirely non-recursive variational mode decomposition model, where the modes are extracted concurrently. The model looks for an ensemble of modes and their respective center frequencies, such that the modes collectively reproduce the (1D) input signal, while each being smooth after demodulation into baseband. The variational model is efficiently optimized using an alternating direction method of multipliers approach.
Applications: signal decomposition in audio engineering, climate analysis, various flux and neuromuscular signal analysis in medicine and biology, etc.
This is a variational alternative to the empirical mode decomposition (EMD; Huang et al. 1998), or the empirical wavelet transform (EWT; Gilles 2013).
See: K. Dragomiretskiy and D. Zosso, Variational Mode Decomposition, IEEE Trans. Signal Processing (in press). http://dx.doi.org/10.1109/TSP.2013.2288675
引用
Dominique Zosso (2026). Variational Mode Decomposition (https://jp.mathworks.com/matlabcentral/fileexchange/44765-variational-mode-decomposition), MATLAB Central File Exchange. に取得済み.
| バージョン | 公開済み | リリース ノート | Action |
|---|---|---|---|
| 1.0.0.0 |
