DocumentCode :
1745255
Title :
A parallel architecture for estimating 4th-order cumulants
Author :
Lim, J.G. ; Lim, C.C.
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
Volume :
4
fYear :
2001
fDate :
6-9 May 2001
Firstpage :
322
Abstract :
A novel parallel architecture for estimating computationally intensive 4th-order cumulants is presented. Different from most systolic array implementations, a MIMD array processor is used to efficiently compute the cumulants by exploiting the algorithmic parallelism, reducing operand-fetching operations and by optimising the processing elements´ architectural design. It is shown that by breaking the algorithm into a number of separate stages and reorganising all computations in matrix block form, a significant computational speed-up can be obtained, which increases the applicability of cumulant-based algorithms in a real-time system
Keywords :
higher order statistics; parallel architectures; MIMD array processor; estimation algorithm; fourth-order cumulant; parallel architecture; real-time system; Concurrent computing; Design optimization; High performance computing; Parallel architectures; Parallel processing; Radar signal processing; Random variables; Real time systems; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2001. ISCAS 2001. The 2001 IEEE International Symposium on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-6685-9
Type :
conf
DOI :
10.1109/ISCAS.2001.922237
Filename :
922237
Link To Document :
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