DocumentCode :
2592750
Title :
Diagnosis of convoluting systems by space-time compression
Author :
Vainstein, Feodore ; Hannon, Kevin
Author_Institution :
North Carolina A&T State Univ., Greensboro, NC, USA
fYear :
1995
fDate :
12-14 Mar 1995
Firstpage :
216
Lastpage :
220
Abstract :
The paper investigates fault detection in butterfly networks by considering a space time compression technique proposed by M.G. Karpovsky, L.B. Levitin and E.S. Vainstein (1990). The method of the paper is to show that the time compression technique works for the FFT butterfly network. Reduced matrices for the case when the upper vertex of the tree is absent is also investigated. Details and examples are presented. Preliminary results show that the space time compression technique can be used to determine the fault coverage of the FFT butterfly network and that the reduction of the error matrix may not be achievable
Keywords :
convolution; data compression; fast Fourier transforms; fault diagnosis; hypercube networks; matrix algebra; signal processing; FFT; butterfly networks; convoluting systems; error matrix; fault coverage; fault detection; reduced matrices; space time compression technique; space-time compression; time compression technique; Concurrent computing; Convolution; Digital signal processing; Fast Fourier transforms; Fault detection; Fault location; Radar applications; Signal processing algorithms; System buses; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1995., Proceedings of the Twenty-Seventh Southeastern Symposium on
Conference_Location :
Starkville, MS
ISSN :
0094-2898
Print_ISBN :
0-8186-6985-3
Type :
conf
DOI :
10.1109/SSST.1995.390581
Filename :
390581
Link To Document :
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