Title :
Circuit theoretical techniques as the tool of signal processing
Author_Institution :
Dept. of Comput. Sci. & Commun. Eng., Kyushu Univ., Fukuoka, Japan
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;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo
DOI :
10.1109/ISCAS.1988.15119
