Title :
M-channel oversampled perfect reconstruction filter banks for graph signals
Author :
Tanaka, Yuichi ; Sakiyama, Akie
Author_Institution :
Grad. Sch. of BASE, Tokyo Univ. of Agric. & Technol., Koganei, Japan
Abstract :
This paper proposes M-channel oversampled filter banks for graph signals. The filter set satisfies the perfect reconstruction condition. A method of designing oversampled graph filter banks is presented which allows us to design filters with arbitrary parameters, unlike the conventional critically-sampled graph filter banks. The practical performance of the proposed filter banks is validated through graph signal denoising experiments.
Keywords :
channel bank filters; graph theory; signal denoising; signal reconstruction; signal sampling; M-channel oversampled filter banks; arbitrary parameters; critically-sampled graph filter banks; graph signal denoising experiments; oversampled graph filter banks; perfect reconstruction filter banks; Bipartite graph; Design methodology; Filter banks; Filtering theory; Wavelet transforms; Graph signal processing; graph filter banks; graph signal denoising; graph wavelets; oversampled filter banks;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854071
