Spectral and Spatial Adaptive Processing of Array Data.
Abstract
The first part of this tutorial paper is concerned with the comparative evaluation of signal processing techniques. It is shown that all linear filter (prediction) techniques are highly correlated. Nonlinear signal processing techniques are much needed. The use of maximum entropy method in spectral and spatial processing of the array data is emphasized. Adaptive processing becomes necessary for highly nonstational signals. The second part of the paper deals with the adaptive mean level detector and the use of pattern recognition techniques as an aid to the array data processing. Extensive references are provided in the bibliography section of the paper.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 06, 1975
- Accession Number
- ADA015805
Entities
People
- Chia‐Hung Chen
Organizations
- University of Massachusetts Dartmouth