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Biorthogonal Wavelets of Maximum Coding Gain through Pseudoframes for Subspaces
Student-Run Research| Speaker: | Matt Herman, UC Davis |
| Location: | 2112 MSB |
| Start time: | Wed, Nov 22 2006, 12:10PM |
Description
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). 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 the biorthogonal wavelet filters of the same length
of Cohen, Daubechies, and Feauveau (CDF). Background on the sampling and
quantization of real-world signals will also be discussed.