Discrete wavelet transforms (DWT) are mathematical techniques used to analyze and represent data in terms of wavelets, which are small oscillatory functions. DWT allows for time-frequency analysis, making it particularly useful in identifying patterns and features in non-stationary signals, such as time series data. This method offers a multi-resolution analysis, breaking down data into various frequency components while retaining temporal information, which is essential in processing and interpreting complex datasets.
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