Parallel structures for rank order and stack filters

Lori E. Lucke, Keshab K Parhi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

Rank order filters are non-linear filters which choose an output based on its rank within a window of sample inputs determined by sorting the inputs. Rank order filters are a subset of the class of stack filters [1-5] which are also non-linear. A new systematic method for applying block processing, which transforms single-input single-output structures to parallel-input parallel-output structures, for non- recursive rank order and stack filters is presented in this paper. This method takes advantage of shared substructures within the block structure to efficiently generate a block filter whose complexity can be up to one-half the size of the original filter structure times the block size. This method can also be applied to two-dimensional non-recursive rank order filters.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages645-648
Number of pages4
Volume5
ISBN (Electronic)0780305329
DOIs
StatePublished - Jan 1 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

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