Analyze and synthesize signals and images using wavelets

Wavelet Toolbox™ provides functions and apps for analyzing and synthesizing signals and images. The toolbox includes algorithms for continuous wavelet analysis, wavelet coherence, synchrosqueezing, and data-adaptive time-frequency analysis. The toolbox also includes apps and functions for decimated and nondecimated discrete wavelet analysis of signals and images, including wavelet packets and dual-tree transforms.

Using continuous wavelet analysis, you can explore how spectral features evolve over time, identify common time-varying patterns in two signals, and perform time-localized filtering. Using discrete wavelet analysis, you can analyze signals and images at different resolutions to detect changepoints, discontinuities, and other events not readily visible in raw data. You can compare signal statistics on multiple scales, and perform fractal analysis of data to reveal hidden patterns.

With Wavelet Toolbox you can obtain a sparse representation of data, useful for denoising or compressing the data while preserving important features. Many toolbox functions support C/C++ code generation for desktop prototyping and embedded system deployment.


Capabilities

Time-Frequency Analysis

Analyze signals jointly in time and frequency with the continuous wavelet transform.

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Discrete Wavelet Analysis

Analyze signals and images into progressively finer octave bands using decimated (downsampled) and nondecimated wavelet transforms.

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Denoising

Retain features in your data that are often removed or smoothed out by other denoising techniques.

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Compression

Reduce storage requirements for signals and image data while maintaining overall quality.

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Lifting

Design custom wavelets using wavelet lifting.

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Product Resources

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Documentation

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Functions

Browse the list of available Wavelet Toolbox functions.

Technical Articles

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User Stories

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Community and Support

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Product Requirements

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Apps

Wavelet Toolbox apps enable you to quickly access common tasks through an interactive interface.


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Kirthi

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Wavelet Toolbox Technical Expert

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Wavelet Toolbox requires: MATLAB


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