MULTIDIMENSIONAL FILTERING USING COMBINED DISCRETE FOURIER-TRANSFORM AND LINEAR DIFFERENCE EQUATION METHODS

被引：14

作者：

CHOUDHURY, AA ^{[1
]}

BRUTON, LT ^{[1
]}

机构：

[1] UNIV CALGARY,DEPT ELECT ENGN,CALGARY T2N 1N4,ALBERTA,CANADA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS | 1990年 / 37卷 / 02期

关键词：

D O I：

10.1109/31.45714

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A technique is proposed for filtering multidimensional (MD) discrete signals that combines discrete Fourier transform (DFT) and linear difference equation (LDE) methods. A partial P -dimensional DFT (P < M) is applied to the input signal and then each P-dimensional complex frequency point is subjected to complex (M—P) dimensional LDE filtering, followed by inverse partial P-dimensional DFT of the outputs of the LDE filters. The result is a MD filter that, at least for M = 2 and M = 3, is easier to design than LDE filters and lends itself to real-time implementation. The method is shown by example to be computationally more efficient than DFT or LDE methods for the implementation of a comparable 3-D filter, where a 3-D LDE filter of order (4,4,4) is used for the comparison. © 1990 IEEE

引用

页码：223 / 231

页数：9