Study of a Class of Non-Gaussian Signal Processing Problems.

Abstract

Gaussian assumption has been a fundamental one in most statistical signal processing work. The assumption not only simplifies the analytical problems involved but also matches the data characteristics in many cases because of the law of large numbers. In a number of Navy sonar, radar and communications systems, signal processing algorithms must be developed without the Gaussian assumption. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Aug 12, 1980
Accession Number
ADA088558

Entities

People

  • Chia‐Hung Chen

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Processing
  • Detection
  • Digital Signal Processing
  • Electrical Engineering
  • Filters
  • Filtration
  • Gaussian Noise
  • High Resolution
  • Image Processing
  • Information Theory
  • Pattern Recognition
  • Signal Processing
  • Statistics
  • Stochastic Processes
  • Wave Propagation

Readers

  • Acoustical Oceanography.
  • Parallel and Distributed Computing.
  • Statistical inference.