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| Titel: |
Maximum entropy analysis of short time-series biomedical rhythms |
| Auteur: |
Linkens, D. A. |
| Verschenen in: |
Biological rhythm research |
| Paginering: | Jaargang 10 (1979) nr. 2 pagina's 145-163 |
| Jaar: |
1979-08 |
| Inhoud: |
The use of a Maximum Entropy method for the analysis of short-time biomredical rhythms is described using examples taken from gastro-intestinal electrical slow-waves, human digit blood flow, rat locomotor activity and psychological mood data. The method is similar to auto-regressive modelling in that it estimates coefficients in a difference equation model which are related to spectral components. Fine spectral resolution of short time-series is obtained in the Maximum Entropy method by predictive extrapolation of the time-series, unlike the methods of Fast Fourier Transforms and Periodogram via Autocorrelation Functions. It is shown that Maximum Entropy is superior to normal auto-regressive analysis for signals having a higher noise content and that problems caused by initial phase-shift are no more severe than for the zero-extended FFT analysis and normal auto-regressive techniques. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 9 van 11 gevonden artikelen
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