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Wavelet Toolbox 4.5

Analyze and synthesize signals and images using wavelet techniques


A fractal signal is decomposed using the Continuous Wavelet TransformWavelet 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.


Trials available for Wavelet Toolbox
Adobe Acrobat Required  View Wavelet Toolbox data sheet (1748k)



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Medical University of South Carolina

"MATLAB enables young biologists to learn enough programming and math without being afraid of the code."
- Dr. Jonas Almeida