Numerical differentiation based on wavelet transforms
Numerical differentiation based on wavelet transforms (CWT and DWT)
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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 (2026). Numerical differentiation based on wavelet transforms (https://in.mathworks.com/matlabcentral/fileexchange/13948-numerical-differentiation-based-on-wavelet-transforms), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (966 KB)
-
No License
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
