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SUBROUTINE TO FIND ALL REAL EIGENVALUES & EIGENVECTORS
OF A REAL MATRIX [A]nxn
1. Characteristic Polynomial by the Leverrier Method
2. Eigenvalues (roots) of the Characteristic Polynomial by the
Bairstow Method
3. Eigenvectors by t
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用幂法和反幂法实现求矩阵的特征值和特征向量-With the power method and inverse power law to achieve demand matrix eigenvalues and eigenvectors
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出一种实现不同维间估计结果自动配对的二维频率估计算法。首先把二维频率估计问题转化成两个矩阵束的特征值问题。根据矩阵束的特征求出两个矩阵束的公共特征向量，并以此为基础同时求出两个矩阵束的特征值。算法估计误差与现有算法相近，但解决了现有算法普遍存在的配对难题。
-Matrix pencils play an important role in numerical linear algebra. The problem of finding the eigenvalues of a pencil
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To do complex SVD for non-codebook precoding in open loop spatial multiplexing in MIMO, Householder Reduction and QR Diagonalization is applied to H matrix to obtain eigenvalues and eigenvectors of matrix.
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Digital signal processing (DSP) algorithms exhibit an increasing need for the
e#cient implementation of complex arithmetic operations. The computation of
trigonometric functions, coordinate transformations or rotations of complex valued
phasors
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