Interim Report for Grant AFOSR-82-0033.

Abstract

A number of results were obtained pertaining to signal detection and block truncation coding for image compression. 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, use of robustness techniques was 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. 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
Feb 01, 1984
Accession Number
ADA141162

Entities

People

  • D. R. Halverson

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Compression
  • Data Science
  • Detection
  • Detectors
  • Electrical Engineering
  • False Alarms
  • Gaussian Noise
  • Image Compression
  • Information Science
  • Matched Filters
  • Signal Detection
  • Signal Processing
  • Statistics
  • Truncation
  • Warning Systems

Readers

  • Statistical inference.
  • Systems Analysis and Design