DocumentCode
3491021
Title
A general framework for SVD flows and joint SVD flows
Author
Hori, Gen
Author_Institution
Brain Sci. Inst., RIKEN, Saitama, Japan
Volume
2
fYear
2003
fDate
6-10 April 2003
Abstract
The paper presents a general framework for the development of continuous algorithms for SVD and joint SVD problems. The framework for SVD is derived based on gradient flows on unitary groups. Two previous examples of SVD flows discovered heuristically are derived systematically using the framework. The framework for SVD is extended for joint SVD problems, and a new continuous algorithm for joint SVD is derived using the framework. The work described gives a clear perspective on SVD and joint SVD flows as well as a means for the development of new continuous algorithms.
Keywords
algorithm theory; differential equations; gradient methods; random noise; signal processing; singular value decomposition; additive noise; continuous algorithm; continuous algorithms; differential equation; gradient flows; joint SVD flows; matrix differential equations; signal processing; singular values decomposition; unitary groups; Differential equations; Eigenvalues and eigenfunctions; Gradient methods; Matrix decomposition; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-7663-3
Type
conf
DOI
10.1109/ICASSP.2003.1202461
Filename
1202461
Link To Document