Joint speaker localization and array calibration using expectation-maximization

Spectrometer Calibration by Expectation Maximization Method

Expectation Maximization (EM) algorithm is a parameter estimation method from incomplete observations. In this paper, an implementation of this method to the calibration of HKS spectrometer at Jefferson Lab is described. We show that the application of EM method is able to calibrate the spectrometer properly in the presence of high background noise, while the traditional nonlinear Least Square ...

Concurrent Cognitive Mapping and Localization Using Expectation Maximization Thesis

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xii

Fluorescence lifetime discrimination using expectation-maximization algorithm with joint deconvolution.

The fluorescence lifetime technique offers an effective way to resolve fluorescent components with overlapping emission spectra. The presence of multiple fluorescent components in biological compounds can hamper their discrimination. The conventional method based on the nonlinear least-squares technique is unable to consistently determine the correct number of fluorescent components in a fluore...

Expectation maximization for joint decoding and phase estimation

We apply the expectation maximization (EM) algorithm to the problem of joint decoding and phase estimation. We investigate a model in which (1) the phase is constant; (2) the phase performs a Gaussian random walk. In earlier work, we presented a “local” view of EM, in which EM is interpreted as message passing on factor graphs. We demonstrate how phase estimation algorithms can be derived mecha...

Expectation Maximization