Critically sampled graph filter banks with polynomial filters from regular domain filter banks
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- 作者：David B.H. Taya ; d.tay@latrobe.edu.au" class="auth_mail" title="E-mail the corresponding author ; Yuichi Tanakab ; ytnk@cc.tuat.ac.jp" class="auth_mail" title="E-mail the corresponding author ; Akie Sakiyamab ; sakiyama@msp-lab.org" class="auth_mail" title="E-mail the corresponding author
- 关键词：Filter banks ; Wavelet transform ; Spectral graph theory ; Perfect reconstruction
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：131
- 期：Complete
- 页码：66-72
- 全文大小：822 K
文摘
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We design filter banks for signal defined over bipartite graphs.
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Spectral filters are polynomials resulting in localization and efficient implementation.
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Technique is based on converting 1D regular domain filter banks.
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Perfect reconstruction is exactly preserved and spectral response shape is almost preserved.