Critically-Sampled Perfect-Reconstruction Spline-Wavelet Filterbanks for Graph Signals

被引：0

作者：

Ekambaram, Venkatesan N. ^{[1
]}

Fanti, Giulia ^{[1
]}

Ayazifar, Babak ^{[1
]}

Ramchandran, Kannan ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept EECS, Berkeley, CA 94720 USA

来源：

2013 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP) | 2013年

关键词：

Graph wavelets; critical sampling; circulant graphs;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Inspired by first-order spline wavelets in classical signal processing, we introduce two-channel (low-pass and high-pass), critically-sampled, perfect-reconstruction filterbanks for signals defined on circulant graphs, which accommodate linear shift-invariant filtering. We then generalize to filters that process signals defined on noncirculant graphs. We apply these filters, which can be tuned to approximate desired frequency responses, to signals defined on synthetic graphs and examine their performance.

引用

页码：475 / 478

页数：4

共 26 条

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