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Proceedings Paper

Biorthogonal wavelets of maximum coding gain through pseudoframes for subspaces
Author(s): Matthew A. Herman; Shidong Li
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Paper Abstract

A method for designing a signal-adapted, two-channel biorthogonal wavelet filter bank that maximizes coding gain is presented using the technique of Pseudoframes for Subspaces (PFFS). At the same time the PFFS model is able to incorporate the requirements of regularity and perfect reconstruction into this design. The coding gain achieved for AR(2) signals can result in a reduction in bit rate of more than 0.66 bits per sample as compared to traditional biorthogonal wavelet filter banks of the same length. The ability for PFFS to combine all of these design elements using an unconstrained optimization parameter makes pursuing this technique worthwhile.

Paper Details

Date Published: 25 August 2006
PDF: 10 pages
Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 631501 (25 August 2006); doi: 10.1117/12.681496
Show Author Affiliations
Matthew A. Herman, Univ. of California, Davis (United States)
Shidong Li, San Francisco State Univ. (United States)


Published in SPIE Proceedings Vol. 6315:
Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX
Gerhard X. Ritter; Mark S. Schmalz; Junior Barrera; Jaakko T. Astola, Editor(s)

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