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Stochastic signal analysis: Numerical representation and applications to system theory

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  • Mariano J. Valderrama

Abstract

Alternative procedures for representing a stochastic signal as a denumerable series with uncorrelated terms are developed. The study includes considerations about parametric rescaling and its repercussions on the orthogonal expansion, as well as numerical techniques for approaching such an expansion. In addition, applications to the Gaussian characterization of stochastic signals, filtering and stochastic modelling are treated.

Suggested Citation

  • Mariano J. Valderrama, 1991. "Stochastic signal analysis: Numerical representation and applications to system theory," Applied Stochastic Models and Data Analysis, John Wiley & Sons, vol. 7(1), pages 93-106, March.
    • Handle: RePEc:wly:apsmda:v:7:y:1991:i:1:p:93-106
    DOI: 10.1002/asm.3150070109
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