DocumentCode :
3094323
Title :
Overcoming the effects of sampling of band-limited stationary analog signals in HOC-based MA modeling
Author :
Stogioglou, A.G. ; McLaughlin, S.
Author_Institution :
Dept. of Electr. Eng., Edinburgh Univ., UK
fYear :
1995
fDate :
34841
Firstpage :
42461
Lastpage :
42466
Abstract :
The MA modeling of discrete signals using higher order cumulants (HOC) has been one of the most active areas of research in the higher order statistics literature. The validation of HOC-based FIR system identification algorithms is obtained through digital simulations and it seems that they are very seldom applied (after sampling) to actual continuous signals. In this paper the problems associated with the MA modeling of samples of continuous stationary signals are reviewed, and ways to overcome these problems are discussed. The performance of the new method is demonstrated through Monte Carlo simulations
Keywords :
Monte Carlo methods; higher order statistics; signal processing; signal sampling; HOC-based FIR system identification algorithms; HOC-based MA modeling; Monte Carlo simulations; band-limited stationary analog signals; digital simulations; discrete signals; higher order cumulants; higher order statistics; sampling effects;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Higher Order Statistics in Signal Processing: Are They of Any Use? IEE Colloquium on
Conference_Location :
London
Type :
conf
DOI :
10.1049/ic:19950732
Filename :
405101
Link To Document :
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