Waveletmuunnoksella
Waveletmuunnoksella, or wavelet transform, is a mathematical technique used in signal processing and data analysis to decompose functions or signals into components at different scales or resolutions. It provides a means to analyze localized variations within a signal, making it especially useful for processing non-stationary data such as audio, images, and biological signals.
The wavelet transform operates by applying a series of wavelet functions—small, oscillating functions localized in both
There are two main types of wavelet transforms: the Continuous Wavelet Transform (CWT), which provides a detailed,
Wavelet muunnoksella has advantages like multi-resolution analysis, ability to handle irregular signals, and adaptability across different