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Biorthogonal Wavelets of Maximum Coding Gain through Pseudoframes for Subspaces

Student-Run Research Seminar

Speaker: Matt Herman, UC Davis
Location: 2112 MSB
Start time: Wed, Nov 22 2006, 12:10PM

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.