Titlebook: Maximum-Likelihood Deconvolution; A Journey into Model Jerry M. Mendel Book 1990 Springer-Verlag New York Inc. 1990 Signal.entropy.filter.f

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Jerry M. MendelThe diffraction pattern sampling system (Sect. 5.2) is the most developed and hardened but is also the simplest and least powerful. The optical preprocessor system (Sect. 5.3) uses extensive digital analysis of optical light distributions (usually Fourier transform planes or texture variance images)

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Likelihood,22 and 1925) developed the method of maximum likelihood for problems that are characterized just by deterministic parameters. Another method, associated with the name of Thomas Bayes, called the Maximum a Posteriori Method, i.e., MAP (e.g., Sorenson, 1980, and Mendel, 1987a), was developed for probl

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Maximizing Likelihood,here either the likelihood function L{. ❘ .} or the loglikelihood function .{. ❘ .} attains its maximum. Because of the exponential nature of our likelihood function, we shall focus on maximizing . {}. Maximum-likelihood values of the parameter vectors are denoted with a superscript ML, e.g., ., ...