Maximum likelihood estimation of K-distribution parameters via the expectation-maximization algorithm

DOI10.1109/78.886993zbMath0976.62014OpenAlexW2160216316MaRDI QIDQ2734427

Sadaoki Furui, W. J. J. Roberts

Publication date: 16 December 2001

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100450599

zbMATH Keywords

EM algorithmmaximum likelihoodK-distribution

Mathematics Subject Classification ID

Point estimation (62F10) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Statistical analysis of the covariance matrix MLE in K-distributed clutter

Uses Software

• fminsearch

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