Title :
Signal- and image-component separation by a multi-window Gabor-type scheme
Author :
Zibulski, Meir ; Zeevi, Yehoshua Y.
Author_Institution :
Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
The discrete (finite) Gabor scheme is generalized by incorporating multi-windows. Two approaches are presented for the analysis of the generalized scheme: the signal domain approach and Zak transform domain approach. These approaches are based on representing the frame operator as a matrix-valued function, and are far less demanding from a computational complexity viewpoint than a straightforward matrix algebra in various operations such as the computation of the dual frame. Issues related to undersampling, critical sampling and oversampling are considered. Examples illustrating the advantages of the multi-window scheme over the single-window scheme are presented
Keywords :
computational complexity; computer vision; image reconstruction; image representation; image segmentation; matrix algebra; transforms; Zak transform; computational complexity; critical sampling; frame operator; image reconstruction; image representation; image-component separation; matrix value function; matrix-valued function; multiple window Gabor-type scheme; oversampling; signal-component separation; undersampling; Computational complexity; Context; Discrete transforms; Image analysis; Image sampling; Kernel; Matrices; Sampling methods; Signal resolution; Speech;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.547193
