Wavelet analysis is a mathematical technique used to analyze signals in both time and frequency domains by breaking them down into smaller, localized waveforms known as wavelets. This approach allows for the examination of transient, non-stationary signals, making it particularly useful for identifying and characterizing noise sources in various environments. By providing a multi-resolution analysis, wavelet analysis enables engineers to detect changes in frequency content over time, which is crucial for noise source identification and control strategies.
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