Titlebook: Maximum-Entropy and Bayesian Methods in Inverse Problems; C. Ray Smith,W. T. Grandy Book 1985 Springer Science+Business Media Dordrecht 19

弄污

POINT

Fundamentals of Seismic Exploration,oblem is to find a method of processing a whole seismogram that will give structure, composition, and source parameters. Such a problem is an inverse problem. The forward problem is one in which a model of the earth structure and seismic source is used to give properties of seismic motion. When the

bonnet

Applied Seismology,roblem is to find inverse methods that give structure, composition, and source parameters by processing the received seismograms. The pioneering work of Jack Cohen and Norman Bleistein on general inverse methods has caused a revolution in the direction of research on longstanding unsolved geophysica

CLAP

Spectral Analysis and Time Series Models: A Geophysical Perspective,peakers, however, I found myself in somewhat of a quandary, namely, what should I talk about? John Burg is certainly more qualified to talk about maximum entropy spectral estimation than I am. John Skilling and Roy Frieden woulsd cover two-dimensional applications. And of course Edwin Jaynes would t

Indigence

deadlock

The Entropy of an Image, one should always use the Shannon formula S = −Σ p. log p. when attempting to reconstruct the shape of an image. This produces an image that is maximally noncommittal about the set of relative proportions p. which one wishes to construct. Alternative forms of entropy, notably the Σ log f. form reco

和谐

A Review of the Problem of Spontaneous Line Splitting in Maximum Entropy Power Spectral Analysis,rs have revolutionized the subject of power spectrum estimation. Hundreds of papers have been written on the subject of high resolution spectral estimation since that time. Burg’s two papers are available in the book . edited by Don Childers and published by IEEE Press (1978). Another excellent sour

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Application of Maximum Entropy and Bayesian Optimization Methods to Image Reconstruction from Projege system of approximate equalities in the unknown coefficients of the desired linear combination. Optimization criteria for selecting these coefficients include unconstrained regularized least squares estimation based on Bayesian optimization, and constrained norm minimization and entropy maximizat

愤世嫉俗者

Multivariate Extensions of Maximum Entropy Methods,lem, it seemed appropriate that someone should review the interesting work being reported on the analogous multivariate problem. This survey is intended to acquaint the reader with this area of research.

FIN

Toward a General Theory of Inductive Inference, the context of a “theory.” The approach is based on the dichotomy between observer and system. It includes the explicit (geometrical) construction of “theories” from a group defining observational “degrees of freedom.” Empirical evidence is also analyzed fundamentally. Both observations and predict