Advances in Control and Signal Processing
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
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2003
- Accession Number
- ADA415547
Entities
People
- Tryphon T. Georgiou
Organizations
- University of Minnesota