REGULARIZED IMAGE-RECONSTRUCTION USING SVD AND A NEURAL-NETWORK METHOD FOR MATRIX-INVERSION

被引：69

作者：

STERITI, RJ ^{[1
]}

FIDDY, MA ^{[1
]}

机构：

[1] UNIV MASSACHUSETTS,CTR PROD ENHANCEMENT,LOWELL,MA 01854

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 10期

关键词：

D O I：

10.1109/78.277813

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：

We compare two methods of matrix inversion when used in an image reconstruction algorithm. The first is based on energy minimization using a Hopfield neural network; this is compared with the inverse obtained using singular value decomposition (SVD). We show with a practical example that the neural network provides a more useful and robust matrix inverse.

引用

页码：3074 / 3077

页数：4

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