DocumentCode
302886
Title
Distance order statistic filtering using selection probabilities
Author
Siren, Sari ; Egiazarian, Karen ; Kuosmanen, Pauli
Author_Institution
Signal Process. Lab., Tampere Univ. of Technol., Finland
Volume
4
fYear
1996
fDate
7-10 May 1996
Firstpage
2259
Abstract
Stack filters can be approximated by using PCDOS-filters (permutation conditioned distance order statistic filters). Generalized selection probabilities are introduced in order to achieve even faster implementations for PCDOS-filters via using generalized orderings by stack filter banks. Theory and an algorithm for the practical use of the introduced method are provided. Some alternatives to the PCDOS-filter are also considered
Keywords
band-pass filters; filtering theory; nonlinear filters; probability; statistical analysis; PCDOS filters; algorithm; distance order statistic filtering; generalized orderings; nonlinear filters; permutation conditioned distance order statistic filters; selection probabilities; stack filter banks; Boolean functions; Filter bank; Information filtering; Information filters; Laboratories; Nonlinear filters; Probability; Signal processing; Signal processing algorithms; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1520-6149
Print_ISBN
0-7803-3192-3
Type
conf
DOI
10.1109/ICASSP.1996.545872
Filename
545872
Link To Document