| Paper: | SPTM-P6.11 | ||
| Session: | Non-Stationary Signal Analysis and Modeling | ||
| Time: | Thursday, May 20, 09:30 - 11:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Non-stationary Signals & Time-Frequency Analysis | ||
| Title: | NEW ALGORITHMS FOR BEST LOCAL COSINE BASIS SEARCH | ||
| Authors: | Yan Huang; Purdue University | ||
| Ilya Pollak; Purdue University | |||
| Charles Bouman; Purdue University | |||
| Minh N. Do; University of Illinois at Urbana-Champaign | |||
| Abstract: | We propose a best basis search algorithm for local cosine dictionaries. We improve upon the classical best local cosine basis selection based on a dyadic tree, by considering a larger dictionary of bases. This results in more compact representations, lower costs, and approximate shift-invariance. We also provide a version of our algorithm which is strictly shift-invariant. | ||
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