Continuous Wavelet Transform Computation Provided by WAVELAB

Resource Overview

MATLAB toolbox for computing continuous wavelet transforms provided by WAVELAB, including wavelet ridge extraction algorithms and signal processing utilities.

Detailed Documentation

The MATLAB program toolbox provided by WAVELAB for computing continuous wavelet transforms enables the following operations: - Calculation of wavelet ridges using ridge detection algorithms that identify local maxima in the wavelet transform modulus - Computation of continuous wavelet transforms through efficient convolution-based implementations with various wavelet families - Wavelet analysis using WAVELAB's comprehensive toolkit featuring functions for time-frequency decomposition and signal characterization - Execution of continuous wavelet transform calculations in MATLAB environment using WAVELAB's optimized functions with proper parameter configuration - Convenient wavelet analysis and ridge computation through WAVELAB's MATLAB toolbox, which includes specialized functions for signal processing and transform visualization The toolbox implements key algorithms such as the Morlet wavelet transform and provides functions like cwt() for continuous wavelet computation and ridge() for extracting time-frequency ridges from transform coefficients.