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 :
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