On the spectral decomposition of stationary time series using walsh functions. I

1980 ◽  
Vol 12 (1) ◽  
pp. 183-199 ◽  
Author(s):  
R. Kohn

The paper looks at the asymptotic properties of the finite Walsh–Fourier transform applied to a discrete-time stationary time series, and shows that in many ways we have analogous results to those obtained when using the finite trigonometric Fourier transform.

1980 ◽  
Vol 12 (01) ◽  
pp. 183-199 ◽  
Author(s):  
R. Kohn

The paper looks at the asymptotic properties of the finite Walsh–Fourier transform applied to a discrete-time stationary time series, and shows that in many ways we have analogous results to those obtained when using the finite trigonometric Fourier transform.


1980 ◽  
Vol 12 (02) ◽  
pp. 462-474 ◽  
Author(s):  
R. Kohn

The paper derives the asymptotic properties of a class of estimators of the Walsh–Fourier spectral density of a stationary time series. The spectral density is defined in Kohn (1980).


1980 ◽  
Vol 12 (2) ◽  
pp. 462-474 ◽  
Author(s):  
R. Kohn

The paper derives the asymptotic properties of a class of estimators of the Walsh–Fourier spectral density of a stationary time series. The spectral density is defined in Kohn (1980).


1974 ◽  
Vol 11 (3) ◽  
pp. 578-581
Author(s):  
Herbert T. Davis

The asymptotic properties of the periodogram of a weakly stationary time series for the triangular array of fundamental frequencies is studied. For linear Gaussian processes, results are obtained relating the asymptotic distribution of certain Riemann sums of the periodogram of the process to those of the periodogram of the innovation process.


1974 ◽  
Vol 11 (03) ◽  
pp. 578-581
Author(s):  
Herbert T. Davis

The asymptotic properties of the periodogram of a weakly stationary time series for the triangular array of fundamental frequencies is studied. For linear Gaussian processes, results are obtained relating the asymptotic distribution of certain Riemann sums of the periodogram of the process to those of the periodogram of the innovation process.


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