The Maximum Entropy Method [EBook] / by Nailong Wu.
The Maximum Entropy Method [EBook] / by Nailong Wu.
The Maximum Entropy Method addresses the principle and applications of the powerful maximum entropy method (MEM), which has its roots in the principle of maximum entropy introduced into the field of statistical mechanics almost 40 years ago. This method has since been adopted in many areas of scienc...
Personal Name(s):  Wu, Nailong, (author) 

Imprint: 
Berlin, Heidelberg :
Springer,
1997

Physical Description: 
XII, 327 p. online resource. 
Note: 
englisch 
ISBN: 
9783642606298 
DOI: 
10.1007/9783642606298 
Series Title: 
Springer Series in Information Sciences ;
32 
Subject (LOC):  
Full Text 
Table of Contents:
 1. Introduction
 1.1 What is the Maximum Entropy Method
 1.2 Definition of Entropy
 1.3 Rationale of the Maximum Entropy Method
 1.4 Present and Future Research
 2. Maximum Entropy Method MEM1 and Its Application in Spectral Analysis
 2.1 Definition and Expressions of Entropy H1
 2.2 Formulation and Solution
 2.3 Equivalents and Signal Model
 2.4 Algorithms and Numerical Example (Given ACF)
 2.5 Algorithms and Numerical Example (Given Time Series)
 2.6 Order Selection
 3. Maximum Entropy Method MEM2 and Its Application in Image Restoration
 3.1 Definition and Expressions of Entropy H2
 3.2 Formulation and Implicit Solution
 3.3 Explicit Solution
 3.4 Equivalents and Signal Model
 3.5 R – ? Procedure
 3.6 Algorithms and Numerical Examples (I)
 3.7 Algorithms and Numerical Examples (II)
 3.8 Algorithms and Numerical Examples (III)
 4. Analysis and Comparison of the Maximum Entropy Method
 4.1 Generalized MEM
 4.2 Expressions of Entropy
 4.3 Solution’s Properties
 4.4 Resolution Enhancement and Data Extension (Experimental Results)
 4.5 Resolution Enhancement and Data Extension (Theoretical Analysis)
 4.6 Peak Location and Relative Power Estimation (Experimental Results)
 4.7 Peak Location and Relative Power Estimation (Theoretical Analysis)
 4.8 Comments on the Three Schools of Thought on MEM
 5. Applications of the Maximum Entropy Method in Mathematics and Physics
 5.1 Solution of Moment Problems
 5.2 Solution of Integral Equations
 5.3 Solution of Partial Differential Equations
 5.4 Predictive Statistical Mechanics
 5.5 Distributions of Particles Among Energy Levels
 5.6 Classical Statistical Ensembles
 5.7 Quantum Statistical Ensembles
 Appendices
 A. Cepstral Analysis
 A.1 Cepstral Analysis System
 A.2 I/O Relationship
 A.3 Properties of the Complex Cepstrum
 A.4 I/O Relationship for MinimumPhase Input
 B. Image Restoration
 B.1 Image Formation
 B.2 Image Restoration
 B.3 Relationship Between Image Restoration and Spectral Estimation
 References.