Interim Report for Grant AFOSR-82-0033.

Abstract

A number of results were obtained pertaining to signal detection and data compression for image processing. These results led to improved performance over previous approaches, with special attention given to methods which required less statistical knowledge and which were easier to implement. In particular, robustness and nonparametric techniques were employed to allow the exploitation of whatever knowledge was available, while retaining insensitivity to the remaining inexactness in knowledge. In addition, because the presence of dependency in the underlying random processes often complicates detector design, investigations into when weak dependency could be ignored were undertaken; moreover, results were obtained pertaining to the general subject of the extent of variation (induced by incomplete knowledge of the dependency) in the form of the detector data processor. Finally, some results were obtained which allowed relaxing stationarity assumptions which were placed on the signal in earlier work. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA153444

Entities

People

  • D. Halverson

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Classification
  • Compression
  • Data Compression
  • Detection
  • Detectors
  • Electrical Engineering
  • Gaussian Noise
  • Image Compression
  • Image Processing
  • Information Processing
  • Information Science
  • Order Statistics
  • Security
  • Signal Detection
  • Signal Processing
  • Statistics
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Statistical inference.
  • Systems Analysis and Design