Abstract
An algorithm is presented that constrains the autocorrelation function of noise removed when a maximum entropy model of noisy data is selected. The algorithm uses the method of simulated annealing and is applied to a model data set. The algorithm is successful in finding solutions to both unconstrained and constrained maximum entropy problems.
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References
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Farrow N.A. and Ottensmeyer F.P., Maximum Entropy and Bayesian Spectral Analysis, Ed. Erickson G.J. and Smith CR., Kluwer Academic Publishing, in print (1987)
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© 1989 Springer Science+Business Media Dordrecht
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Farrow, N.A., Ottensmeyer, F.P. (1989). Solution of Autocorrelation Function Constrained Maximum Entropy Problems Using the Method of Simulated Annealing. In: Skilling, J. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 36. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-7860-8_16
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DOI: https://doi.org/10.1007/978-94-015-7860-8_16
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4044-2
Online ISBN: 978-94-015-7860-8
eBook Packages: Springer Book Archive