Please use this identifier to cite or link to this item: https://ea.donntu.edu.ua/jspui/handle/123456789/14981
Title: НЕЛИНЕЙНЫЕ АДАПТИВНЫЕ ФИЛЬТРЫ ДЛЯ ОБРАБОТКИ ОДНОМЕРНЫХ ПРОЦЕССОВ
Authors: Лукин, В.В.
Зеленский, А.А.
Туликова, Н.О.
Lukitt, V.
Zelenskiy, A.
Tulyakova, N.
Keywords: dynamic errors
adaptive filters
nonstationary characteristics
Z-parameter
нелинейные фильтры
одномерные процессы
Issue Date: 1999
Publisher: ДонНТУ
Citation: Наукові праці Донецького національного технічного університету. Серія: “Обчислювальна техніка та автоматизація”. Випуск 3 — Донецьк: ДонНТУ, 1999
Description: The novel nonliner adaptive filters for processing the signals corrupted by noise with nonstationary characteristics are proposed and investigated. They are based on iterative procedure assuming preliminary filtering, Z-parameter calculation and analysis with further adaptive selection of nonlinear filter parameters for local processing of signals. It is shown that the proposed adaptive approach provides a good trade-off of filter properties: noise suppression and spike removal ability combined with edge preservation property and low level of residual dynamic errors. The efficiency of proposed techniques and algorithms is confirmed by example.
URI: http://ea.donntu.edu.ua/handle/123456789/14981
Appears in Collections:Випуск 3

Files in This Item:
File Description SizeFormat 
236-242.pdf4,71 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.