Title :
Sufficient conditions for norm convergence of the EM algorithm
Author :
Hero, Alfred ; Fessler, Jeffrey
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Abstract :
We provide sufficient conditions for convergence of a general class of alternating estimation-maximization (EM) type continuous-parameter estimation algorithms with respect to a given norm
Keywords :
convergence of numerical methods; parameter estimation; EM algorithm; continuous-parameter estimation algorithms; norm convergence; sufficient conditions; Computed tomography; Convergence; Electrical capacitance tomography; Parameter estimation; Shape; Sufficient conditions; Vectors;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531525