方法证据记录
MODWT
The maximal overlap discrete wavelet transform (MODWT) is a translation-invariant wavelet decomposition method that addresses a key limitation of the standard DWT: lack of shift invariance. Introduced by Percival and Walden (1995), MODWT applies the same wavelet filters at each scale without downsampling, producing an undecimated decomposition. Each detail and approximation coefficient array maintains the full length of the input signal, enabling both robust multi-scale analysis and translation-invariant feature extraction.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Maximal Overlap Discrete Wavelet Transform
分类方法记录 · process-pipeline / time-series
- Percival, D. B., & Walden, A. T. (1995). Wavelet Methods for Time Series Analysis. Cambridge University Press. · URL
- Percival, D. B. (2000). Wavelet methods for time series analysis. Cambridge University Press. · URL
- Whitcher, B., Guttorp, P., & Percival, D. B. (2000). Wavelet analysis of covariance with application to atmospheric time series. Journal of Geophysical Research, 105(D11), 14941–14962. · DOI 10.1029/2000JD900110
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