Spline-Like Wavelet Filterbanks with Perfect Reconstruction on Arbitrary Graphs

Fuente: arXiv
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Auteurs principaux: You, Junxia, Yang, Lihua
Format: Preprint
Publié: 2022
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author You, Junxia
Yang, Lihua
author_facet You, Junxia
Yang, Lihua
contents In this work, we propose a class of spline-like wavelet filterbanks for graph signals. These filterbanks possess the properties of critical sampling and perfect reconstruction. Besides, the analysis filters are localized in the graph domain because they are polynomials of the normalized adjacency matrix of the graph. We generalize the spline-like filters in the literature so that they have the ability to annihilate signals of some specified frequencies. Optimization problems are posed for the analysis filters to approximate desired responses. We conduct some experiments to demonstrate the good locality of the proposed filters and the good performance of the filterbank in the denoising task.
format Preprint
id arxiv_https___arxiv_org_abs_2209_06385
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Spline-Like Wavelet Filterbanks with Perfect Reconstruction on Arbitrary Graphs
You, Junxia
Yang, Lihua
Signal Processing
In this work, we propose a class of spline-like wavelet filterbanks for graph signals. These filterbanks possess the properties of critical sampling and perfect reconstruction. Besides, the analysis filters are localized in the graph domain because they are polynomials of the normalized adjacency matrix of the graph. We generalize the spline-like filters in the literature so that they have the ability to annihilate signals of some specified frequencies. Optimization problems are posed for the analysis filters to approximate desired responses. We conduct some experiments to demonstrate the good locality of the proposed filters and the good performance of the filterbank in the denoising task.
title Spline-Like Wavelet Filterbanks with Perfect Reconstruction on Arbitrary Graphs
topic Signal Processing
url https://arxiv.org/abs/2209.06385