Local Approximation Signal and Image Processing

Nonparametric Regression for Irregular Grids

for MATLAB version 6.5 or later


The Nonparametric Regression DemoBox is a set of MATLAB routines for denoising and interpolation of signals on irregular grids.

The main algorithms are prepared as demos, so that they can be executed in a straightforward manner. These demos reproduce figures and results from the publications by the authors of the LASIP project and their collaborators.

All the provided demos are open-source, and may be modified and tuned to be exploited with other data. This DemoBox is available free-of-charge for educational and non-profit scientific research, enabling others researchers to understand and reproduce our work. Any unauthorized use of the LASIP routines for industrial or profit-oriented activities is expressively prohibited.



The main routines provided in this DemoBox are the following:

demo_ZeroOrderEstimator1D.m
demo_ZeroOrderEstimator2D.m

Demonstrates the zero-order LPA estimate for the 1D and 2D signals given on the irregular grid.
demo_FirstOrderEstimator1D.m
demo_FirstOrderEstimator2D.m

Demonstrates the first-order LPA estimate for the 1D and 2D signals given on the irregular grid.
demo_Interpolation1D.m

Demonstrates 1D interpolation on the irregular grid with the LPA of the orders m=0 and m=1 with special interpolation windows.
demo_FigureBiasVarianceTheory.m

Demonstrates the bias and variance of the estimates for different scales and sampling intervals.
Any unauthorized use of the LASIP routines for industrial or profit-oriented activities is expressively prohibited. By downloading any of the LASIP files, you implicitly agree to all the terms of the LASIP limited license PDF.


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Tampere University of Technology - Department of Signal Processing - Transforms and Spectral Methods Group