DocumentCode :
2019144
Title :
Signal estimation via Laguerre series
Author :
Olivier, Philip D. ; Barnett, Kevin D.
Author_Institution :
Electr. & Comput. Eng. Dept., Mercer Univ., Macon, GA, USA
fYear :
2010
fDate :
7-9 March 2010
Firstpage :
298
Lastpage :
301
Abstract :
This paper demonstrates that Laguerre series can be used to estimate a variety of signals, including (a) transient signals; (b) infinitely persisting finite power signals; and (c) signals that explode. One of the examples presented is the estimation of the step response of a linear time invariant system which leads to a discussion of the relationship of the proposed technique with the classical system identification algorithm due to B. L. Ho.
Keywords :
T invariance; estimation theory; signal processing; stochastic processes; Laguerre series; classical system identification algorithm; finite power signals; linear time invariant system; signal estimation; transient signals; Differential equations; Estimation; Fourier transforms; Frequency; Laplace equations; Polynomials; Power engineering and energy; Power engineering computing; Signal processing; Signal processing algorithms; Laguerre Series; Signal estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory (SSST), 2010 42nd Southeastern Symposium on
Conference_Location :
Tyler, TX
ISSN :
0094-2898
Print_ISBN :
978-1-4244-5690-1
Type :
conf
DOI :
10.1109/SSST.2010.5442821
Filename :
5442821
Link To Document :
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