DocumentCode :
1066811
Title :
Subsampling matrices for wavelet decompositions on body centered cubic lattices
Author :
Entezari, Alireza ; Möller, Torsten ; Vaisey, Jacques
Author_Institution :
Simon Fraser Univ., Burnaby, BC, Canada
Volume :
11
Issue :
9
fYear :
2004
Firstpage :
733
Lastpage :
735
Abstract :
This work derives a family of dilation matrices for the body-centered cubic (BCC) lattice, which is optimal in the sense of spectral sphere packing. While satisfying the necessary conditions for dilation, these matrices are all cube roots of an integer scalar matrix. This property offers theoretical advantages for construction of wavelet functions in addition to the practical advantages when iterating through a perfect reconstruction filter bank based on BCC downsampling. Lastly, we factor the BCC matrix into two matrices that allow us to cascade two two-channel perfect reconstruction filter banks in order to construct a four-channel perfect reconstruction filter bank based on BCC downsampling.
Keywords :
channel bank filters; iterative methods; lattice theory; matrix algebra; signal sampling; wavelet transforms; BCC downsampling; body centered cubic lattices; cube roots; dilation matrices; four-channel perfect reconstruction filter bank; integer scalar matrix; perfect reconstruction filter bank; spectral sphere packing; subsampling matrices; two-channel perfect reconstruction filter banks; wavelet decompositions; wavelet functions; FCC; Filter bank; Frequency domain analysis; Helium; Lattices; Matrix decomposition; Multidimensional systems; Sampling methods; Signal sampling; Wavelet transforms; Body centered cubic lattice; dilation matrix; wavelet decomposition;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2004.833486
Filename :
1324713
Link To Document :
بازگشت