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A numerical method for factorizing the rational spectral density matrix
Authors:Yuzo Hosoya  Taro Takimoto
Affiliation:1. Meisei University;2. Kyushu University;3. E‐mail:
Abstract:Improving Rozanov (1967, Stationary Random Processes. San Francisco: Holden‐day.)’s algebraic‐analytic solution to the canonical factorization problem of the rational spectral density matrix, this article presents a feasible computational procedure for the spectral factorization. We provide numerical comparisons of our procedure with the Bhansali's (1974, Journal of the Statistical Society, B36 , 61.) and Wilson's (1972 SIAM Journal on Applied Mathematics, 23 , 420) methods and illustrate its application in estimation of invertible MA representation. The proposed procedure is usefully applied to linear predictor construction, causality analysis and other problems where a canonical transfer function specification of a stationary process in question is required.
Keywords:Autoregressive‐moving average representation  causality  one‐step ahead prediction  rational spectrum  spectral density matrix factorization  stationary process
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