A globally convergent and consistent method for estimating the shape parameter of a generalized Gaussian distribution

IEEE Transactions on Information Theory

Volumn 52, Issue 2, 2006, Pages 510-527

  Song, K S ^a  

^a FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Consistency; Convexity; Fixed point; Generalized Gaussian distribution (GGD); Global convergence; Newton Raphson; Shape estimating equation

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; INTERPOLATION; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY; THEOREM PROVING;

CONVEXITY; FIXED-POINT; GENERALIZED GAUSSIAN DISTRIBUTION (GGD); GLOBAL CONVERGENCE; NEWTON-RAPHSON ROOT-FINDING ALGORITHM; SHAPE ESTIMATING EQUATION;

IMAGE PROCESSING;

EID: 31744441556     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIT.2005.860423     Document Type: Article

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