Paper
25 August 2006 Biorthogonal wavelets of maximum coding gain through pseudoframes for subspaces
Matthew A. Herman, Shidong Li
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew A. Herman and Shidong Li "Biorthogonal wavelets of maximum coding gain through pseudoframes for subspaces", Proc. SPIE 6315, Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX, 631501 (25 August 2006); https://doi.org/10.1117/12.681496
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Cited by 1 scholarly publication.
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KEYWORDS
Wavelets

Electronic filtering

Filtering (signal processing)

Optical filters

Signal processing

Quantization

Distortion

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