Accession Number:

ADA248230

Title:

Maximizing the Convergence Rate of the EM Algorithm for the Multiple Broad-Band Signal Estimation and Detection

Descriptive Note:

Final rept. 1 Jul 1988-31 Jan 1991,

Corporate Author:

MARYLAND UNIV BALTIMORE COUNTY CATONSVILLE DEPT OF MATHEMATICS AND STATISTICS

Personal Author(s):

Report Date:

1992-03-26

Pagination or Media Count:

9.0

Abstract:

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.

Subject Categories:

  • Statistics and Probability
  • Acoustic Detection and Detectors
  • Active and Passive Radar Detection and Equipment

Distribution Statement:

APPROVED FOR PUBLIC RELEASE