Title :
Selection filters for signal restoration
Author :
Hardie, Russell C. ; Barner, Kenneth E. ; Sarhan, Ahmad
Author_Institution :
Dept. of Electr. Eng., Dayton Univ., OH, USA
Abstract :
A class of nonlinear filters called rank conditioned rank selection (RCRS) filters is developed and analyzed in this paper. The RCRS filters are developed within the general framework of rank selection (RS) filters, which are filters constrained to output an order statistic from the observation set. The information used by the RCRS filters to select an output rank is the ranks of selected input samples, hence the name rank conditioned rank selection filters
Keywords :
filtering and prediction theory; signal processing; RCRS filters; nonlinear filters; observation set; order statistic; output rank; rank conditioned rank selection filters; selection filters; signal restoration; Educational institutions; Information analysis; Information filtering; Information filters; Nonlinear filters; Signal restoration; Statistics;
Conference_Titel :
Aerospace and Electronics Conference, 1994. NAECON 1994., Proceedings of the IEEE 1994 National
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-1893-5
DOI :
10.1109/NAECON.1994.332953
