Time series analysis by higher order crossings

[1]  S. Rice.  Mathematical analysis of random noise , 1944 .

[2]  Benjamin Kedem,et al.  AN ITERATIVE FILTERING ALGORITHM FOR NON‐FOURIER FREQUENCY ESTIMATION , 1994 .

[3]  Benjamin Kedem.  Exact maximum likelihood estimation of the parameter in the AR(1) process after hard limiting (Corresp.) , 1976, IEEE Trans. Inf. Theory.

[4]  Sidney J. Yakowitz,et al.  Some contributions to a frequency location method due to He and Kedem , 1991, IEEE Trans. Inf. Theory.

[5]  Benjamin Kedem,et al.  On the Sinusoidal Limit of Stationary Time Series , 1984 .

[6]  Ta-Hsin Li,et al.  Strong consistency of the contraction mapping method for frequency estimation , 1993, IEEE Trans. Inf. Theory.

[7]  Ta-Hsin Li,et al.  Asymptotic analysis of a multiple frequency estimation method , 1993 .

[8]  Benjamin Kedem,et al.  Higher order crossings spectral analysis of an almost periodic random sequence in noise , 1989, IEEE Trans. Inf. Theory.

[9]  Eric V. Slud,et al.  On autocorrelation estimation in mixed-spectrum Gaussian processes , 1994 .

[10]  E. Slud,et al.  On goodness of fit of time series models: An application of higher order crossings , 1981 .

[11]  Benjamin Kedem.  Higher-order crossings in time series model identification , 1987 .

[12]  Sidney J. Yakowitz,et al.  Practical aspects of a fast algorithm for frequency detection , 1994, IEEE Trans. Commun..

[13]  Benjamin Kedem,et al.  Fixed points in mixed spectrum analysis , 1992 .

[14]  E. Slud,et al.  Time Series Discrimination by Higher Order Crossings , 1982 .

[15]  Ta-Hsin Li,et al.  Iterative filtering for multiple frequency estimation , 1994, IEEE Trans. Signal Process..