𝔖 Bobbio Scriptorium
✦   LIBER   ✦

A new matrix decomposition for signal processing

✍ Scribed by Franklin T Luk; Sanzheng Qiao


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
306 KB
Volume
30
Category
Article
ISSN
0005-1098

No coin nor oath required. For personal study only.

✦ 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.


πŸ“œ SIMILAR VOLUMES


A New Method for Nonorthogonal Signal De
✍ Nikolay Polyak; William A. Pearlman πŸ“‚ Article πŸ“… 1994 πŸ› Elsevier Science 🌐 English βš– 538 KB

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

ICA decomposition of EEG signal for fMRI
✍ JosΓ© P. Marques; JosΓ© Rebola; PatrΓ­cia Figueiredo; Alda Pinto; Francisco Sales; πŸ“‚ Article πŸ“… 2009 πŸ› John Wiley and Sons 🌐 English βš– 532 KB

## Abstract In this study, we introduce a new approach to process simultaneous Electroencephalography and functional Magnetic Resonance Imaging (EEG‐fMRI) data in epilepsy. The method is based on the decomposition of the EEG signal using independent component analysis (ICA) and the usage of the rel