Accession Number:

ADA415547

Title:

Advances in Control and Signal Processing

Descriptive Note:

Final rept. 1 Dec 1999-28 Feb 2003

Corporate Author:

MINNESOTA UNIV MINNEAPOLIS DEPT OF ELECTRICAL AND COMPUTER ENGINEERING

Personal Author(s):

Report Date:

2003-05-01

Pagination or Media Count:

20.0

Abstract:

The research reported herein, has led to significant advances in high resolution spectral analysis of time series impacting upon sensor technology and upon application areas such as radar and medical imaging. The research is based on the initial discovery that weighted covariance statistics i.e., statistics which are more general than the traditional autocorrelation function, allow for a superior resolution of the power spectrum of a time-series. The work comprises of the development of computational theory and the development of a spectrum of analytical tools for i parametrizing all power spectra which are consistent with given data5 ii incorporating prior information in spectral estimation, and iii fusion of covariance statistics obtained by different sensors Research on a parallel effort in control design methodologies has led to advances in robustness analysis and optimal control of oscillatory systems

Subject Categories:

  • Miscellaneous Detection and Detectors
  • Active and Passive Radar Detection and Equipment
  • Radiofrequency Wave Propagation

Distribution Statement:

APPROVED FOR PUBLIC RELEASE