Design of Parallel Rank-Order Filtering System Based on Neural Circuits of Discrete-Time

被引：0

作者：

Tymoshchuk, Pavlo ^{[1
]}

机构：

[1] Lviv Polytech Natl Univ, CAD Dept, Lvov, Ukraine

来源：

2021 IEEE 16TH INTERNATIONAL CONFERENCE ON THE EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS (CADSM) | 2021年

关键词：

computational and hardware implementation complexity; difference equation; functional block-diagram; neural circuit; parallel rank-order filtering system; NETWORKS;

D O I：

10.1109/CADSM52681.2021.9385217

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A rank-order parallel filtering (ROF) system is presented. It is modeled by system of difference equations. There are designed functional block-schemes of the system. In contrast to other analogs, the system has arbitrary high resolution of inputs, linear computational complexity and it can process unknown finite value inputs located in any known confined region. The ROF has moderate computational and hardware implementation complexity. Moreover, it does not need readjusting and appropriate control circuits. Numerical simulations showing performance of the ROF are given.

引用

页数：5

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