scholarly journals An Almost Noise - Free Power Estimation Method in Maximum Entropy Spectral Analysis

1993 ◽  
Vol 5 (1) ◽  
pp. 45-59 ◽  
Author(s):  
M. Daquah ◽  
I. Zabalawi
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Estimation Method ◽  
Power Estimation ◽  
Maximum Entropy Spectral Analysis

ON POWER ESTIMATION IN MAXIMUM ENTROPY SPECTRAL ANALYSIS

Geophysics ◽  
1978 ◽  
Vol 43 (4) ◽  
pp. 681-690 ◽  
Author(s):  
S. J. Johnsen ◽  
N. Andersen
Keyword(s):  
Spectral Analysis ◽  
Spectral Density ◽  
Maximum Entropy ◽  
Power Estimation ◽  
Low Noise ◽  
Density Estimator ◽  
Simple Method ◽  
Power Estimate ◽  
Maximum Entropy Spectral Analysis ◽  
Harmonic Components

A conceptually simple method for power estimation in maximum entropy spectral analysis, based on evaluation of complex residues of the spectral density estimator, is suggested. Numerical integration of the peaks of the power density function is thus avoided. The agreement in simple cases with conventional estimates is demonstrated, and the explicit performance is analyzed in detail in a series of examples. The close connection between the residue power estimate and the estimate proposed recently by Pisarenko is pointed out. The method is particularly suitable for spectral decomposition of low noise time series with several harmonic components, because it allows a direct listing of frequency and power estimates, provides an indication of the purity of the obtained harmonic components and enhances the resolution of the maximum entropy spectral density estimator. Computing facilities with modern program libraries are required for efficient use of the method.

Transient Rhythms in the Swimming Activity of Sarsia Tubulosa (Hydrozoa)

1982 ◽  
Vol 96 (1) ◽  
pp. 181-193
Author(s):  
JANET L. LEONARD
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Swimming Activity ◽  
Endogenous Rhythms ◽  
Maximum Entropy Spectral Analysis ◽  
Transient Nature ◽  
High Degree ◽  
Behavioural Mechanism

Maximum entropy spectral analysis (MESA) was used to assess the contribution of endogenous rhythms to the timing of swim bouts in a hydrozoan jellyfish, Sarsia tubulosa M. Sars. The results show that the high degree of variability in Sarsia swimming activity is due largely to the number of rhythms which may contribute to the behaviour and to the transient nature of these rhythms. I conclude that the ability to ‘choose’ among behavioural rhythms may be a widespread behavioural mechanism in cnidarians and I suggest that, in Sarsia, these transient behavioural rhythms may originate in activity of the marginal pacemaker system.

Maximum entropy spectral analysis of the Duero Basin

1995 ◽  
Vol 15 (4) ◽  
pp. 463-472 ◽  
Author(s):  
Solange Mendonça Leite ◽  
José Pinto Peixoto
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Maximum Entropy Spectral Analysis ◽  
Duero Basin

Use of maximum entropy spectral analysis to improve ship detection by over-the-horizon radar

Radio Science ◽  
1987 ◽  
Vol 22 (2) ◽  
pp. 313-320 ◽  
Author(s):  
A. Bourdillon ◽  
F. Gauthier ◽  
J. Parent
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Maximum Entropy Spectral Analysis ◽  
Ship Detection

Application of maximum entropy spectral analysis to estimation of parameters of ARMA models by the ITIF method

1985 ◽  
Vol 21 (14) ◽  
pp. 611 ◽  
Author(s):  
R. Gómez Martín ◽  
M.C. Carrión Perez ◽  
S. Al Khouri Ibrahim ◽  
B. García Olmedo
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Arma Models ◽  
Estimation Of Parameters ◽  
Maximum Entropy Spectral Analysis

To: “Maximum Entropy Spectral Analysis of Multiple Sinusoids in Noise”, by E. H. Satorius and J. R. Zeidler, in GEOPHYSICS, v. 43, no. 6, p. 1111–1118 (October 1978).

Geophysics ◽  
1979 ◽  
Vol 44 (2) ◽  
pp. 277-277
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Maximum Entropy Spectral Analysis

The figure captions for Figures 1 and 2 should be interchanged in the paper, “Maximum Entropy Spectral Analysis of Multiple Sinusoids in Noise”, by E. H. Satorius and J. R. Zeidler, in Geophysics, v. 43, no. 6, p. 1111–1118 (October 1978).

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