Title :
Commutativity of D-dimensional decimation and expansion matrices, and application to rational decimation systems
Author :
Chen, Tszlhan ; Vaidyanathan, P.P.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Abstract :
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
Keywords :
data compression; filtering and prediction theory; image coding; image processing; matrix algebra; multidimensional digital filters; video signals; D-dimensional decimation; coding; commutativity; compression; coprimeness; image data; integer matrices; least common left multiples; least common right multiples; multidimensional decimation matrices; multidimensional digital filters; multidimensional expansion matrices; multirate system; nondiagonal case; polyphase implementation; rational decimation systems; video data; Digital filters; HDTV; High definition video; Image coding; Image converters; Image sampling; Multidimensional systems; Sampling methods; Sufficient conditions; Video compression;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226317