Abstract
A new nonlinear filter known as the generalised adaptive neural filter (GANF) is introduced. It is extended from the generalised stack filter and can be adapted by various neural networks. It is also shown that there always exists a GANF that can achieve an absolute error less than or equal to that of a stack filter with the same window width. Experimental results are presented to demonstrate the effectiveness of GANF for suppressing noise.
Original language | English (US) |
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Pages (from-to) | 342-343 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 29 |
Issue number | 4 |
DOIs | |
State | Published - Feb 1993 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Keywords
- Adaptive filters
- Filters
- Neural networks