DocumentCode
2069822
Title
Circuit theoretical techniques as the tool of signal processing
Author
Koga, Tosiro
Author_Institution
Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
fYear
1988
fDate
7-9 Jun 1988
Firstpage
1107
Abstract
The problem of the convergence of the Levinson algorithm applied to subtle cases is discussed. Some theorems are then presented that guarantee the possibility of partitioning a circuit that represents a model of a given stationary stochastic process. As an application of the theorems, the authors give a method of approximation of a nonrational power spectral density function by a rational one, by which the modeling of a stationary stochastic process as an ARMA (autoregressive moving-average) model may be accomplished
Keywords
circuit CAD; convergence of numerical methods; ARMA model; Levinson algorithm; autoregressive moving-average; circuit partitioning; circuit theoretical techniques; convergence; modeling; rational approximation; stationary stochastic process; subtle cases; tool of signal processing; Circuit synthesis; Computer science; Convergence; Density functional theory; Lattices; Network synthesis; Signal processing; Signal processing algorithms; Signal synthesis; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location
Espoo
Type
conf
DOI
10.1109/ISCAS.1988.15119
Filename
15119
Link To Document