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Process / pipelineTranslation-invariant wavelet decomposition

MODWT

Ubadilishaji wa kiwango kikubwa wa ubadilishaji wa wimbi wa kiwango kikubwa (MODWT) ni njia ya utengano wa wimbi isiyo na uhamisho ambayo inashughulikia kikomo muhimu cha DWT ya kawaida: ukosefu wa uhamisho wa uhamisho. Imeanzishwa na Percival na Walden (1995), MODWT hutumia vichungi sawa vya wimbi kwa kila kiwango bila kupunguzwa chini, ikitoa utengano usio na uhamisho. Kila safu ya maelezo na mgawo wa makadirio huhifadhi urefu kamili wa ishara ya pembejeo, ikiwezesha uchambuzi wa kiwango-nyingi na uchimbaji wa vipengele usio na uhamisho.

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Vyanzo

  1. Percival, D. B., & Walden, A. T. (1995). Wavelet Methods for Time Series Analysis. Cambridge University Press. link
  2. Percival, D. B. (2000). Wavelet methods for time series analysis. Cambridge University Press. link
  3. 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

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Maximal Overlap Discrete Wavelet Transform. ScholarGate. https://scholargate.app/sw/time-series/modwt

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Imerejelewa na

ScholarGateMODWT (Maximal Overlap Discrete Wavelet Transform). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/time-series/modwt · Seti ya data: https://doi.org/10.5281/zenodo.20539026