Evaluating performance of denoising algorithms using metrics : MSE,MAE,SNR,PSNR & cross correlation
This code computes the metrics MSE, MAE, SNR, PSNR and cross correlation coefficient .
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This function is useful in evaluating the performance of denoising algorithms, such as ECG, EEG, audio (speech) etc. I have attached a demo script, which you can use to run to understand its use.
Please contact me if you have doubt in using this code
Cite As
Aditya Sundar (2026). Evaluating performance of denoising algorithms using metrics : MSE,MAE,SNR,PSNR & cross correlation (https://www.mathworks.com/matlabcentral/fileexchange/52342-evaluating-performance-of-denoising-algorithms-using-metrics-mse-mae-snr-psnr-cross-correlation), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Denoising signals using empirical mode decomposition and hurst analysis
General Information
- Version 1.0.0.0 (34.1 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 | The initial version did'nt contain some important files
Updated some comments and demo script |
