Filtering, Statistical Signal Processing and Variational Problems

Abstract

During the grant period the PI made major contributions in three principal areas: (1) Robust Kalman filtering. (2) Structure determination for X- ray crystallography and (3) Stochastic recursive algorithms for global optimization. These theoretical advances have wide applications in diverse problems, such as identification of systems using maximum likelihood techniques, filtering in the presence of non-Gaussian observation noise, outlier detection, image analysis, and phase estimation problems.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA262276

Entities

People

  • Sanjoy K. Mitter

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Computational Science
  • Crystallography
  • Data Science
  • Estimators
  • Information Science
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Random Variables
  • Statistical Algorithms
  • Statistics
  • X Rays
  • X-Ray Crystallography

Readers

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