waveletdekomposioon
Wavelet decomposition is a mathematical technique used to break down a signal or function into different frequency components. Unlike the Fourier transform, which represents a signal as a sum of sine and cosine waves of infinite duration, wavelet decomposition uses wavelets, which are short, localized oscillations. This localization in both time and frequency allows for a more detailed analysis of signals that may have transient features or varying frequency content over time.
The process involves applying a series of filters to the signal. High-pass filters capture high-frequency details,
Wavelet decomposition has found applications in various fields. In image processing, it's used for compression, denoising,