DocumentCode
2866510
Title
Multi-dimensional median filtering for processing network and spectrum analyzer information
Author
Braun, R.M.
Author_Institution
Dept. of Electr. & Electron. Eng., Cape Town Univ., South Africa
fYear
1989
fDate
32682
Firstpage
85
Lastpage
89
Abstract
The author describes the use of median filtering to enhance the readability of the trace information of such instruments as network analyzers and spectrum analyzers. A class of mildly recursive median filters (MRMFs) is described, and application to a spectrum analyzer is demonstrated. The results show that a 41% improvement in Gaussian noise, using an MRMF with a window size of three samples, is possible. The MRMF turns out to have considerably better performance for very small window sizes than nonrecursive MFs
Keywords
multidimensional digital filters; network analysers; picture processing; random noise; spectral analysers; Gaussian noise; digital filters; image processing; mildly recursive median filters; network analyzers; spectrum analyzer; trace information readability; Band pass filters; Cities and towns; Filtering algorithms; Frequency; Gaussian noise; Information analysis; Information filtering; Information filters; Low pass filters; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Signal Processing, 1989. COMSIG 1989. Proceedings., Southern African Conference on
Conference_Location
Stellenbosch
Print_ISBN
0-87942-713-2
Type
conf
DOI
10.1109/COMSIG.1989.129022
Filename
129022
Link To Document