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Statements

Subject Item: dbr:Mesa_(disambiguation)
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

Subject Item: dbr:Estimation_theory
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

Subject Item: dbr:Linear_predictive_coding
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

Subject Item: dbr:Autoregressive_model
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

Subject Item: dbr:Spectral_density
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

Subject Item: dbr:Maximum_entropy
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation
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Subject Item: dbr:Maximum_entropy_spectral_estimation
rdf:type: dbo:Software
rdfs:label: Maximum entropy spectral estimation
rdfs:comment: Maximum entropy spectral estimation is a method of spectral density estimation. The goal is to improve the spectral quality based on the principle of maximum entropy. The method is based on choosing the spectrum which corresponds to the most random or the most unpredictable time series whose autocorrelation function agrees with the known values. This assumption, which corresponds to the concept of maximum entropy as used in both statistical mechanics and information theory, is maximally non-committal with regard to the unknown values of the autocorrelation function of the time series. It is simply the application of maximum entropy modeling to any type of spectrum and is used in all fields where data is presented in spectral form. The usefulness of the technique varies based on the source
dcterms:subject: dbc:Statistical_signal_processing dbc:Entropy dbc:Spectroscopy dbc:Information_theory
dbo:wikiPageID: 11070790
dbo:wikiPageRevisionID: 1054145834
dbo:wikiPageWikiLink: dbr:Statistical_inference dbc:Information_theory dbr:Spectral_density_estimation dbr:Periodogram dbr:Information_theory dbr:Autoregressive_model dbc:Entropy dbc:Spectroscopy dbr:Prentice-Hall dbr:Autocorrelation dbr:Spectrum dbr:Statistical_mechanics dbr:Principle_of_maximum_entropy dbc:Statistical_signal_processing
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dbo:abstract: Maximum entropy spectral estimation is a method of spectral density estimation. The goal is to improve the spectral quality based on the principle of maximum entropy. The method is based on choosing the spectrum which corresponds to the most random or the most unpredictable time series whose autocorrelation function agrees with the known values. This assumption, which corresponds to the concept of maximum entropy as used in both statistical mechanics and information theory, is maximally non-committal with regard to the unknown values of the autocorrelation function of the time series. It is simply the application of maximum entropy modeling to any type of spectrum and is used in all fields where data is presented in spectral form. The usefulness of the technique varies based on the source of the spectral data since it is dependent on the amount of assumed knowledge about the spectrum that can be applied to the model. In maximum entropy modeling, probability distributions are created on the basis of that which is known, leading to a type of statistical inference about the missing information which is called the maximum entropy estimate. For example, in spectral analysis the expected peak shape is often known, but in a noisy spectrum the center of the peak may not be clear. In such a case, inputting the known information allows the maximum entropy model to derive a better estimate of the center of the peak, thus improving spectral accuracy.
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Subject Item: dbr:Principle_of_maximum_entropy
dbo:wikiPageWikiLink: dbr:Maximum_entropy_spectral_estimation

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Subject Item: wikipedia-en:Maximum_entropy_spectral_estimation
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