A multi-band wavelet transform for nonstationary filtering
Submitted by mlwruble on Wed, 04/15/2009 - 9:33am.
Apr 16 2009 - 3:00pm
Apr 16 2009 - 4:00pm
Speaker:
Dr. Michael Lamoureux (University of Calgary)
We create a refinement of the biorthogonal discrete wavelet
transform that provides a higher resolution decomposition of the frequency
bands than the usual DWT. The goal is to produce a means to implement
nonstationary filtering for signal and image processing that combines the
detailed frequency discrimination available in Gabor transforms while
taking advantage of the computational speed of the discrete wavelet transform.
(This is a work in progress.)