DocumentCode
925219
Title
Statistical analysis for the convergence rate of signals to median filter roots
Author
Mao, M. ; Gan, Z.J.
Author_Institution
South China Sea Inst. of Oceanology, Chinese Acad. of Sci., Guangzhou, China
Volume
41
Issue
7
fYear
1993
fDate
7/1/1993 12:00:00 AM
Firstpage
2499
Lastpage
2502
Abstract
The convergence behavior of the median filter is analyzed. A concept called convergence point is used to characterize the convergence rates. The results show that any independently and identically distributed (i.i.d) signal will become nearly stable after three or four passes of median filter with a large probability. Simulations are provided to illustrate the theoretical developments
Keywords
convergence; filtering and prediction theory; signal processing; statistical analysis; convergence point; convergence rate; i.i.d signal; independently and identically distributed (i.i.d) signal; median filter roots; probability; signal processing; statistical analysis; Convergence; Filtering theory; Filters; Image processing; Noise level; Probability; Signal analysis; Signal processing; Smoothing methods; Statistical analysis;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.224259
Filename
224259
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