Piecewise Constant Signal Nonlinear Filtering based on Local Center / Surround Shrinkage

The article is devoted to the synthesis of a new nonlinear filtration methods for a piecewise constant signals distorted by Poisson noise. The proposed approach to filtering assumes the principles and concepts of statistical learning, understood as learning based on input data. (cf. adaptive filteri...

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Bibliographic Details

Published in:	2023 25th International Conference on Digital Signal Processing and its Applications (DSPA) pp. 1 - 6
Main Author:	Antsiperov, Viacheslav
Format:	Conference Proceeding
Language:	English
Published:	IEEE 29-03-2023
Subjects:	Adaptation models Filtering Machine learning algorithms nonlinear filtering piecewise constant signal Poisson noise Probability Radio frequency receptive fields shrinkage Signal processing algorithms Statistical learning surround suppression
Online Access:	Get full text
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