| 1. | The limit of sequence on a class of special matrix power
一类特殊矩阵方幂序列的极限 |
| 2. | The eigenvalues of a kind of special matrix
一类特殊矩阵的特征值 |
| 3. | The properties of a class of special matrix
一类特殊矩阵的性质 |
| 4. | In this paper , we study some classes of special matrices , and discuss several matrix equations on these matrices
文章研究了特殊矩阵的某些类，并讨论了几类矩阵方程在这些矩阵类上的求解问题。 |
| 5. | It is mainly to some simple matrices to the research of the fast triangular factorization algorithms of special matrices up to now
对于特殊矩阵的快速三角分解算法的研究，目前主要是对一些较简单的矩阵进行的。 |
| 6. | The relation between the star and the minus partial ordering of some special matrices is discussed , the previous related results of the hermmite matrices are extended
同时，研究特殊矩阵的*序与减序之间的关系，推广了关于hermmite矩阵的相应结果。 |
| 7. | Based on a theorem , the paper discusses the estimates of eigenvalues for a few special matrixes and presents a few relations of the eigenvalues for a set of general special matrix , aswell as their proofs
摘要本文在定理的基础上讨论几个特殊矩阵特征值的估计，并给出一组一般矩阵特征值的几个关系式及证明。 |
| 8. | This method simplified the complexity of linear separating algorithms . this thesis construct an characteristic - like function and find a special matrix , transforming bss into eigenvalue decomposing problems to solve a class problem of linear mixture
本文构造了一个类特征函数，找寻了一个特殊矩阵，将bss问题转化为此矩阵的特征值分解问题，解决了一类线性瞬时混合盲分离问题。 |
| 9. | In this paper , we research some more general special matrices , for example , teoplitz type matrices , loewner type matrices , symmetrical loewner matrices and vandermonde type matrices , and so on . we respectively get their fast triangular factorization algorithms according to the character of these special matrices
本文研究更广类型的一些特殊矩阵，如toeplitz型矩阵、 loewner型矩阵、对称loewner型矩阵以及vandermonde型矩阵等，根据这些特殊矩阵的结构特点，给出了相应的快速三角分解算法。 |
| 10. | Since the instinct unsupervised learning of the rbf network and blind signal processing are in essence unsupervised learning procedures , therefore the algorithm based on rbf seems rational . 2 ) according to signals high order cumulant . bss problems are transformed into diagnolization of special matrix
2 )在研究随机过程理论的基础上，从信号的高阶累积量出发，将线性西安理工大学硕士学位论文混合盲分离问题转化为矩阵的对角化问题，大大简化了bss算法的复杂度。 |
