Stochastic signal analysis: Numerical representation and applications to system theory
作者:
Mariano J. Valderrama,
期刊:
Applied Stochastic Models and Data Analysis
(WILEY Available online 1991)
卷期:
Volume 7,
issue 1
页码: 93-106
ISSN:8755-0024
年代: 1991
DOI:10.1002/asm.3150070109
出版商: John Wiley&Sons, Ltd.
关键词: Karhunen‐Loève decomposition;Ornstein‐Uhlenbeck process;Time‐rescaling;Rayleigh‐Ritz algorithm
数据来源: WILEY
摘要:
AbstractAlternative 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.
点击下载:
PDF
(640KB)
返 回