DocumentCode
2291309
Title
Research of Acquiring Eigenvector of Real Symmetric Matrix
Author
Feng, Luo ; Kun, He ; Shunjun, Wu
Author_Institution
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an
fYear
2006
fDate
16-19 Oct. 2006
Firstpage
1
Lastpage
3
Abstract
A systolic array processing method that works out the eigenvectors based on the Jacobi algorithm for eigenvalue/eigenvector decomposition (EVD) is presented in this paper. According to systolic array processing architecture, it is of highly parallel and can get eigenvectors when eigenvalues are worked out. It is easy to perform, for it works with coordinate rotation to avoid complicated algorithm such as multiple, divide and evolution etc. At last some simulations show the precision and delay can be satisfied when the method is applied to real time domain
Keywords
Jacobian matrices; array signal processing; eigenvalues and eigenfunctions; matrix decomposition; systolic arrays; EVD; Jacobi algorithm; eigenvalue-eigenvector decomposition; real symmetric matrix; systolic array processing method; Clutter; Delay effects; Documentation; Eigenvalues and eigenfunctions; Jacobian matrices; Matrix decomposition; Radar signal processing; Signal processing algorithms; Symmetric matrices; Systolic arrays; CORDIC; Eigenvalue; Eigenvector; Jacobi; Systolic Array;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar, 2006. CIE '06. International Conference on
Conference_Location
Shanghai
Print_ISBN
0-7803-9582-4
Electronic_ISBN
0-7803-9583-2
Type
conf
DOI
10.1109/ICR.2006.343201
Filename
4148307
Link To Document