By using the method of matrix singular values decomposition, the general expressions of the least squares solutions are given.
利用矩阵的奇异值分解和矩阵分块方法，得到了最小二乘解的一般表达式。
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。
Any image can be considered as a matrix. Singular values (SV) of the matrix have some important properties adaptable to image recognition.
每一幅图像都可以认为是一个矩阵，而矩阵的奇异值具有很多适合图像识别的特征。
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