Wavelet Toolbox

Analyze and synthesize signals and images using wavelet techniques

Wavelet Toolbox™ software extends the MATLAB^® technical computing environment with graphical tools and command-line functions for developing wavelet-based algorithms for the analysis, synthesis, denoising, and compression of signals and images. Wavelet analysis provides more precise information about signal data than other signal analysis techniques, such as Fourier.

The Wavelet Toolbox supports the interactive exploration of wavelet properties and applications. It is useful for speech and audio processing, image and video processing, biomedical imaging, and 1-D and 2-D applications in communications and geophysics.

Key Features Applying Wavelet Methods Analyzing Signals and Images

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Webinar: Introduction to Wavelet Toolbox MATLAB and Simulink in the World: Earth, Ocean and Planetary Sciences User Story: GlucoLight Develops Automated Glucose Monitor Using MathWorks™ Tools