The Continuous Wavelet Transform (CWT) is a mathematical technique used to analyze signals by decomposing them into wavelets at different scales and positions. This method allows for the examination of localized variations in frequency content over time, providing a time-frequency representation that overcomes the limitations of traditional Fourier analysis. CWT is particularly useful in contexts where signals exhibit non-stationarity or time-varying characteristics, making it an essential tool in various fields, including biomedical signal analysis.
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