...秩: 用初等行变换将矩阵A化为阶梯形矩阵, 则矩阵中非零行的个数就定义为这个矩阵的秩, 记为r(A)。 满秩矩阵(non-singular matrix): 设A是n阶矩阵..
基于210个网页-相关网页
... singular point : 奇异点 non-singular matrix : 非奇异矩阵，非退化矩阵 SVD (singular value decomposition) : 奇异值分解 ...
基于14个网页-相关网页
LU decomposition is a triangular decomposition approach of non-singular matrix, and the digital image can be seen as a matrix.
LU分解是一种将非奇异矩阵进行三角分解的方法，而数字图像也可以看作矩阵。
Based on the original precise integration method, the problem that singular matrix appears in non-homogeneous equation was discussed.
在原有精细积分法的基础上，对非齐次方程出现奇异矩阵的问题进行探讨。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。
应用推荐