美国标准化组织和马里兰大学共同开发.实现java matrix包. JAMA由六个java类组成:Matrix, CholeskyDecomposition , LUDecomposition QRDecomposition SingularValueDecomposition EigenvalueDecomposition . 它提供了广泛的构造函数,丰富的get,set访问子matrix和元素matrix. 基本的矩阵操作有:矩阵的加,乘,矩阵范数.和提供了方便的打印矩阵

基于矩阵特征值分解的功率谱估计包括特征向量估计和MUSIC估计，这两种估计方法均为非参数估计方法-Based on Eigenvalue Decomposition of power spectral estimation, including estimation and MUSIC eigenvector estimates, these two estimation methods are non-parameter estimation

The United States Organization for Standardization and the joint development of MD University. Realize java matrix package. JAMA composed by six java category: Matrix, CholeskyDecomposition, LUDecomposition QRDecomposition SingularValueDecomposition

矩阵的EigenvalueDecomposition分解，矩阵分解中一个非常重要的分解原理。-Eigenvalue decomposition of the matrix, the matrix decomposition decomposition of a very important principle.