Locally stationary processes

作者: M.E. Oxley , T.F. Reid , B.W. Suter

DOI: 10.1109/SSAP.2000.870123

关键词: Time reversibilityStatistical physicsStationary ergodic processContinuous-time stochastic processCyclostationary processStationary processOrnstein–Uhlenbeck processMathematicsGauss–Markov processStationary sequenceMathematical optimization

摘要: The signals that arise in Air Force applications typically have noise can be modeled as a non-stationary stochastic process. However, there may intervals of time where the behaves more like stationary This motivates study locally processes. We rigorously define processes and present their properties relationships to

参考文章(6)
Stéphane Mallat, George Papanicolaou, Zhifeng Zhang, Adaptive covariance estimation of locally stationary processes Annals of Statistics. ,vol. 26, pp. 1- 47 ,(1998) , 10.1214/AOS/1030563977
R. Dahlhaus, Fitting time series models to nonstationary processes Annals of Statistics. ,vol. 25, pp. 1- 37 ,(1997) , 10.1214/AOS/1034276620
C.L. Fancourt, J.C. Principe, Competitive principal component analysis for locally stationary time series IEEE Transactions on Signal Processing. ,vol. 46, pp. 3068- 3081 ,(1998) , 10.1109/78.726819
M. Lavielle, Optimal segmentation of random processes IEEE Transactions on Signal Processing. ,vol. 46, pp. 1365- 1373 ,(1998) , 10.1109/78.668798
B.W. Suter, M.E. Oxley, On variable overlapped windows and weighted orthonormal bases IEEE Transactions on Signal Processing. ,vol. 42, pp. 1973- 1982 ,(1994) , 10.1109/78.301836