期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2012
卷号：3
期号：6
页码：1432-1435
出版社：IJECCE
摘要：A novel hardware architecture based on the extended Jacobi method is presented to solve the calculation of eigenvectors and eigen values inside a FPGA, with high accuracy, taking low execution time and using a reduced number of internal resources. Besides, the execution time is lower than an optimal algorithm to solve the eigen problem in any circuitry. Extended Jacobi method is used to calculate eigen vectors for any real time matrix with less number of operations and with less processing time. This decomposition generally goes under the name "matrix diagonalization." However, this moniker is less than optimal, since the process being described is really the decomposition of a matrix into a product of three other matrices, only one of which is diagonal, and also because all other standard types of matrix decomposition use the term "decomposition".
关键词：E V D; ICA; Eigen; Digitalization; P C A; Gaussian; Jacobi eigenvalue algorithm; ecomposition
