Symlet wavelets

Symlet wavelets are a family of mathematical functions used in signal processing that offer a good balance between simplicity and accuracy. They are designed to compactly represent data, capturing important features like edges and patterns efficiently. Symlets are a variation of Daubechies wavelets, with adjusted symmetry to reduce distortion and improve signal reconstruction. This makes them useful in applications like image compression, denoising, and analysis, where preserving details while minimizing artifacts is essential. Overall, Symlet wavelets help analyze and process complex signals more effectively by providing clear, structured insights into their underlying features.