Nadaraya-Watson smoothing
The advantage of this smoothing function is that it doesn't need any parameters - it finds the optimal parameters by itself. And still the calculation takes just a second for 100 samples.
This code implements Nadaraya-Watson kernel regression algorithm with Gaussian kernel. The optimal setting of the regression is derived by closed form leave-one-out cross-validation.
Zitieren als
Jan Motl (2024). Nadaraya-Watson smoothing (https://www.mathworks.com/matlabcentral/fileexchange/39361-nadaraya-watson-smoothing), MATLAB Central File Exchange. Abgerufen .
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- Signal Processing > Signal Processing Toolbox > Signal Generation and Preprocessing > Smoothing and Denoising >
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Version | Veröffentlicht | Versionshinweise | |
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1.9.0.0 | Improved help text. |
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1.7.0.0 | Vectorised. |
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1.6.0.0 | The function description was truncated and some tags added. |
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1.5.0.0 | Screen-shot was added (2). |
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1.4.0.0 | Removed __MACOSX file from the archive. |
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1.3.0.0 | Screen-shot was added. |
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1.0.0.0 |