SPECTRAL ANALYSIS OF STATIONARY POINT PROCESSES USING THE FAST FOURIER TRANSFORM ALGORITHM

DOI10.1111/j.1467-9892.1992.tb00119.xzbMath0850.62685OpenAlexW2072761665MaRDI QIDQ4021570

Alexandros G. Rigas

Publication date: 16 January 1993

Published in: Journal of Time Series Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9892.1992.tb00119.x

Mathematics Subject Classification ID

Inference from stochastic processes and spectral analysis (62M15) Numerical methods for discrete and fast Fourier transforms (65T50)

Related Items (6)

Estimation of certain parameters of a stationary hybrid process involving a time series and a point process ⋮ Spectral analysis techniques of stationary point processes: Extensions and applications to neurophysiological problems ⋮ A semi-parametric approach for comparing the estimated spectra of two stationary point processes ⋮ A method of estimating the partial power spectrum of a bivariate point process and an application to a neurophysiological data set ⋮ IDENTIFICATION OF A COMPLEX NEUROPHYSIOLOGICAL SYSTEM USING THE MAXIMUM LIKELIHOOD APPROACH ⋮ Measuring the association of stationary point processes using spectral analysis techniques

Cites Work

• An introduction to the theory of point processes
• The Role of Bandwidth in Spectral Analysis
• Remarks on the theory, computation and application of the spectral analysis of series of events
• Unnamed Item
• Unnamed Item

This page was built for publication: SPECTRAL ANALYSIS OF STATIONARY POINT PROCESSES USING THE FAST FOURIER TRANSFORM ALGORITHM