A SYSTOLIC ARCHITECTURE FOR NEW SPLIT ALGORITHMS FOR ARBITRARY TOEPLITZ-PLUS-HANKEL MATRICES

被引：0

作者：

FANG, WH ^{[1
]}

YAGLE, AE ^{[1
]}

机构：

[1] UNIV MICHIGAN,DEPT ELECT ENGN & COMP SCI,ANN ARBOR,MI 48109

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1994年 / 42卷 / 02期

关键词：

D O I：

10.1109/78.275637

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：

Recently, new fast algorithms have been developed for computing the optimal linear least-squares prediction filters for arbitrary Toeplitz-plus-Hankel covariances. In this correspondence, we propose a systolic architecture that can fully express the inherent concurrency of this highly parallelizable algorithm. The simplification of this array structure for centrosymmetric covariances is also addressed.

引用

页码：485 / 489

页数：5

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