Maximizing the Convergence Rate of the EM Algorithm for the Multiple Broad-Band Signal Estimation and Detection
Final rept. 1 Jul 1988-31 Jan 1991,
MARYLAND UNIV BALTIMORE COUNTY CATONSVILLE DEPT OF MATHEMATICS AND STATISTICS
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The following results were obtained under the contract numerical acceleration of convergence for the EM algorithm a characterization of the rank-n ambiguity a characterization of the phase delay ambiguity determination of the minimal number of known and unknown signals for sensor location observability a large class of cyclic regression algorithms for multiple signal direction finding array sensor localization and calibration by cyclic regression cyclic regression for the weighted subspace fitting for direction finding cyclic regression for harmonic retrieval from colored noise a statistical approach to training multilayer perceptrons.
- Statistics and Probability
- Acoustic Detection and Detectors
- Active and Passive Radar Detection and Equipment