Title :
Multi-dimensional median filtering for processing network and spectrum analyzer information
Author_Institution :
Dept. of Electr. & Electron. Eng., Cape Town Univ., South Africa
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;
Conference_Titel :
Communications and Signal Processing, 1989. COMSIG 1989. Proceedings., Southern African Conference on
Conference_Location :
Stellenbosch
Print_ISBN :
0-87942-713-2
DOI :
10.1109/COMSIG.1989.129022