Numerical differentiation based on wavelet transforms

Numerical differentiation based on wavelet transforms (CWT and DWT)
7.9K Downloads
Updated 14 Feb 2007

No License

Numerical differentiation is important in various applications. However, it should be taken with caution because it can greatly amplify the noise in the data, especially at high frequencies. When a wavelet function is the derivative of a smoothing function, the wavelet transform has the combined properties of smoothing and differentiation.

Cite As

Jianwen Luo (2024). Numerical differentiation based on wavelet transforms (https://www.mathworks.com/matlabcentral/fileexchange/13948-numerical-differentiation-based-on-wavelet-transforms), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14SP3
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Continuous Wavelet Transforms in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0.0