摘要
对一个Hermitian矩阵进行特征分解,通常都是把矩阵转化为实对称矩阵,这样运算量比较大。为了解决运算量的问题,提出基于Jacobi方法的Hermitian矩阵特征分解算法,该算法减少了运算量,能满足实际中的实时性要求。
The eigendecomposition of Hermitian matrix is usually the transformation of the matrix to a real symmetric one.The computation is therefore large.In order to solve computational problems,we propose a direct method based on the Jacobi Hermitian eigenvalue decomposition algorithm,which greatly reduces computation and meets the actual real-time requirements.
出处
《电子科技》
2010年第12期60-61,66,共3页
Electronic Science and Technology
