Title :
Filtering behavior of iterated symmetric weighted threshold filters for bounded sequences
Author :
Ye, Wanzhou ; Yu, Chengfeng
Author_Institution :
Dept. of Math., Shanghai Univ., Shanghai, China
Abstract :
The symmetric weighted threshold filters is a generalization of rank order filters. In this paper, we study filtering behavior of iterated symmetric weighted threshold filters for bounded sequences and prove that iterated sequences with even index as well as iterated sequences with odd index both converge, and these limiting sequences are either roots of these filters or their recurrent sequences.
Keywords :
filtering theory; iterative methods; sequences; bounded sequences; even index iterated sequence; filtering behavior; iterated symmetric weighted threshold filter; odd index iterated sequence; rank order filter; Automata; Convergence; Indexes; Limiting; Speech; Speech processing;
Conference_Titel :
Information Science and Technology (ICIST), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9440-8
DOI :
10.1109/ICIST.2011.5765302
