scholarly journals CALCULATION OF DIRECTIONAL WAVE SPECTRA BY THE MAXIMUM ENTROPY METHOD OF SPECTRAL ANALYSIS

1984 ◽  
Vol 1 (19) ◽  
pp. 33 ◽  
Author(s):  
MIchael J. Briggs
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Adaptive Method ◽  
Entropy Method ◽  
Wave Spectra ◽  
Spectral Estimates ◽  
Directional Wave ◽  
Data Adaptive ◽  
Using Data

Two analysis techniques for calculating directional wave spectra from measured pressure and biaxial current components were intercompared using data from the 25 October 1980 Atlantic Remote Sensing Land Ocean Experiment (ARSLOE) storm. The two methods are the conventional Fast Fourier Transform (FFT) method and a Maximum Entropy Method (MEM). The MEM is a nonlinear data adaptive method of spectral analysis which is capable of generating higher resolution spectral estimates from shorter data records than conventional FFT methods. The MEM has shown good agreement with the frequency and directional wave spectra calculated using conventional methods.

scholarly journals Optical Spectral Analysis of Real-Time TDDFT Using Maximum Entropy Method

2015 ◽  
Vol 14 (3) ◽  
pp. 71-73 ◽  
Author(s):  
Mitsuki TOOGOSHI ◽  
Satoru S. KANO ◽  
Yasunari ZEMPO
Keyword(s):  
Spectral Analysis ◽  
Maximum Entropy ◽  
Real Time ◽  
Maximum Entropy Method ◽  
Entropy Method

Twenty-Four-Hour Power Spectral Analysis by Maximum Entropy Method of Blood Pressure in Primary Hyperaldosteronism

1993 ◽  
Vol 2 (3) ◽  
pp. 189-196 ◽  
Author(s):  
Franco Veglio ◽  
Giuliano Pinna ◽  
Remo Melchio ◽  
Franco Rabbia ◽  
Paola Molino ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Spectral Analysis ◽  
Maximum Entropy ◽  
Maximum Entropy Method ◽  
Power Spectral Analysis ◽  
Entropy Method ◽  
Primary Hyperaldosteronism ◽  
Power Spectral

DATA ADAPTIVE SPECTRAL ANALYSIS METHODS

Geophysics ◽  
1971 ◽  
Vol 36 (4) ◽  
pp. 661-675 ◽  
Author(s):  
R. T. Lacoss
Keyword(s):  
Maximum Entropy Method ◽  
Entropy Method ◽  
Likelihood Method ◽  
New Techniques ◽  
Spectral Density Estimation ◽  
New Methods ◽  
Statistical Fluctuations ◽  
Spectral Estimates ◽  
Power Spectral ◽  
Data Adaptive

Two new methods (Maximum Likelihood Method or MLM, and Maximum Entropy Method or MEM) for power spectral density estimation have been experimentally investigated. Both methods, unlike conventional methods, adapt to the actual characteristics of the noise process under study. The new techniques are particularly valuable if the process contains one or more narrow peaks in frequency which are to be resolved. In this case, the output peaks from MEM are proportional to the square of the power in the narrow peaks but the area is equal to power. The peak values of the MLM reflect power directly. Both methods yield the true spectrum if the spectrum changes slowly enough with frequency. Neither of the new methods appears to be unduly sensitive to small statistical fluctuations of the estimated correlation function used to obtain spectral estimates.

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