DocumentCode :
1102768
Title :
Alpha-trimmed means and their relationship to median filters
Author :
Bednar, J. Bee ; Watt, Terry L.
Author_Institution :
Cities Service Company, Tulsa, OK
Volume :
32
Issue :
1
fYear :
1984
fDate :
2/1/1984 12:00:00 AM
Firstpage :
145
Lastpage :
153
Abstract :
Suppose that X is a finite set of N numbers, The α-trimmed mean of X is obtained by sorting X into ascending order, removing (trimming) a fixed fraction \\alpha (0 \\leq \\alpha \\leq 0.5) from the high and low ends of the sorted set, and computing the average of the remaining values. When applied to a sliding window of length LW, the α-trimming process is called α-trim filtering. For α = 0.5, the α-trimmed mean of a set is the median of the set and the filtering operation is called median filtering. Repeated application of a median filter to the output of a previous median filter of the same length LW eventually produces a signal which is invariant to median filtering. This final signal is called the root signal. This paper explains the relationship between α-trimmed means and median filters, derives a simple straightforward and fast algorithm for applying a median filter, and provides a new explanation of the convergence of repeated median filtering to the root signal. The latter result incorporates an approach which permits generalization of the associated concepts to a larger class of "index map" filters.
Keywords :
Convergence; Data analysis; Energy resources; Filtering algorithms; Image processing; Noise robustness; Nonlinear filters; Sorting; Speech analysis; Speech processing;
fLanguage :
English
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
0096-3518
Type :
jour
DOI :
10.1109/TASSP.1984.1164279
Filename :
1164279
Link To Document :
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