A FAMILY OF NONLINEAR FILTERS WITH DATA DEPENDENT COEFFICIENTS

被引：6

作者：

ECONOMOU, G

FOTOPOULOS, S

VEMIS, M

机构：

[1] University of Patras, Department of Physics, Electronics Laboratory

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1995年 / 43卷 / 01期

关键词：

D O I：

10.1109/78.365317

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 new family of data dependent nonlinear filters (DDNL) is presented. Coefficients are computed locally and the absolute distance between signal samples is used to determine a rank order dependent weighting function. The new filters have ver,y good performance regarding noise suppression and impulse rejection and at the same time provide better edge preservation than the averager and other linear smoothers.

引用

页码：318 / 322

页数：5

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