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AFOSR PROGRAM REVIEW:. INNOVATIVE SIGNAL PROCESSING FOR MILITARY DIGITAL COMMUNICATION DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF VERMONT JUNE 6 – 8, 2002. Applications of Finite Group Theory to Signal Processing. by Richard Foote, Gagan Mirchandani and Dan Rockmore.
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AFOSR PROGRAM REVIEW: INNOVATIVE SIGNAL PROCESSING FOR MILITARY DIGITAL COMMUNICATION DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF VERMONT JUNE 6 – 8, 2002
Applications of Finite Group Theory to Signal Processing by Richard Foote, Gagan Mirchandani and Dan Rockmore
Multiresolution analysis, filter banks and discrete wavelets
2. APPLICATIONS WITH WPC GROUPS • WPT – 4-channel PR FB • WPT extensions • WPT phase – implications • WPT applications
1 1 1 1 4 1 1 1 1 4 1 -j -1 j 1 j -1 -j 4 4 X[n] 2 X[n-3] 1 -1 1 -1 4 4 1 -1 1 -1 1 j -1 -j 4 1 -j -1 j 4 4-channel PR FB (complex) Orthogonal,linear phase Short delay Group invariant Shiftable Fast transform, integer arithmetic Phase available Not very regular Not translation invariant
x x 0 1 x x 2 3 WPT phase – a gradient estimate
x x x x x x 0 0 1 1 2 3 x x 1-D DFT 3 2 ~ V ~ V 1 0 ~ ~ V V 2 ~ 3 V 1
H -45 -45 H Edges Phase angle ~ Relationship: Edge angle and WPT phase (V ) 1
Reconstruction: Angle -45, BW 10 Steerable filtering* with group-based filters Spectrum: Angle -45, BW 10 Reconstruction: Angle -80, BW 5 * work with Valerie Chickanosky
~ α |V | Cos ( ) 1 α ~ Original V 1 θ
Reconstruction with local (WPT) phase Reconstruction with global phase
Other applications of phase • Image segmentation • Texture classification • Motion estimation • Overlapped WPT
Acknowledgements Jun Ge Xuling Luo Valerie Chickanosky