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This chapter introduces the Maximal Overlap Discrete Wavelet Transform (MODWT), a modified version of the discrete wavelet transform that is nonorthogonal and highly redundant, allowing for analysis of time series data regardless of sample size. The MODWT has several advantages over the standard DWT, including the ability to perform multiresolution analysis without being affected by circular shifts in the time series, and it utilizes zero phase filters for better alignment with original data features. The c

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viveks1998

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EN