Decomposition of random field's processing
Alexander L. Andreyev · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
In this paper we consider a technique for achieving fast computing and fast convergence multichannel digital signal processing based on reducing the dimension of processing space. Parallel decomposition of the multidimensional processing to basic transforms is proposed. Applying this decomposition for Wiener's filtering gives us the possibility to build efficient parallel computing structures. Applications of these results include high dimensional real-time image and signal processing, filtering, and so on.