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Commutativity of D-dimensional decimation and expansion matrices, and application to rational decimation systems

机译:D维抽取和扩展矩阵的可交换性及其在有理抽取系统中的应用

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Multidimensional (MD) multirate systems, which find applications in the coding and compression of image and video data, have attracted much attention. The basic building blocks in a MD multirate system are the decimation matrix M, the expansion matrix L, and MD digital filters. With D denoting the number of dimensions, M and L are D*D nonsingular integer matrices. When these matrices are diagonal, most of the one-dimensional multirate results can be extended automatically. However, for the nondiagonal case, these extensions are nontrivial. One example of this nature is the commutativity of MD decimation and expansion matrices. Using the concepts of coprimeness and least common right/left multiples of integer matrices, a set of necessary and sufficient conditions is derived for a decimation matrix and an expansion matrix to commute. This commutativity is also used to derive an efficient polyphase implementation of an MD decimation system with rational decimation matrix.
机译:可以在图像和视频数据的编码和压缩中找到应用的多维(MD)多速率系统引起了广泛的关注。 MD多速率系统的基本构建模块是抽取矩阵M,扩展矩阵L和MD数字滤波器。用D表示维数,M和L是D * D非奇异整数矩阵。当这些矩阵是对角线时,大多数一维多速率结果可以自动扩展。但是,对于非对角线情况,这些扩展是不平凡的。这种性质的一个例子是MD抽取和扩展矩阵的可交换性。使用互素性和整数矩阵的最小公倍数的最小公倍数,导出了一组必要条件和充分条件,以进行抽取矩阵和展开矩阵的转换。该可交换性还用于推导具有合理抽取矩阵的MD抽取系统的高效多相实现。

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