m (size1, size2, non_zeros) 一个压缩矩阵(compressed matrix),orientation 是列优先(column major)。
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其次通过构造分块矩阵的方法研究了压缩矩阵的几种酉膨胀。
Subsequently, we study some unitary dilation of con-traction by using the method of constructing block matrix.
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。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
因此,希望采用适当的稀疏矩阵技术来压缩存储量、提高运算的速度。
So a proper sparse-matrix technique is desired to reduce the amount storage and increase the speed of calculation.
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