Wavelet-based filtering

Filters a single column (or row) vector using wavelet-based filtering. The user defines the wavelet center frequencies.
Updated 11 Sep 2019

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Filters some input data using wavelets. Center frequency and bandwidth of wavelets is defined by the user. Output consists of the input signal following the wavelet-based filtering, the wavelets used for the filtering, and the peak-to-peak amplitude of all wavelet-filtered signals. The filtering of the input signal with a wavelet is achieved by performing a convolution of the input signal and wavelet in the frequency domain (i.e. a multiplication of both signal's FFTs).

Cite As

Timothy Olsen (2024). Wavelet-based filtering (https://www.mathworks.com/matlabcentral/fileexchange/69016-wavelet-based-filtering), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes

Filtering now achieved by performing a convolution of the input signal with the wavelets in the frequency domain, thus dramatically decreasing computation requirements.