A new algorithm for nonorthogonal decomposition is proposed and applied to Gabor decomposition of images. The algorithm is iterative and its advantages are discussed. Proof of the convergence of the algorithm is given. Also, a modified version of the algorithm is considered which increases the rate
β¦ LIBER β¦
A new matrix decomposition for signal processing
β Scribed by Franklin T Luk; Sanzheng Qiao
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 306 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
Despite its important signal processing applications, the generalized singular value decomposition (GSVD) is under-utilized due to the high updating cost. In this paper, we introduce a new approximate GSVD that is easily amenable to updating.
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