Remarks on Nongaussian Linear Processes with Additive Gaussian Noise.

Abstract

Techniques have been proposed for the deconvolution of non Gaussian linear processes. It is shown that if a moderate amount of Gaussian white noise is added, the same techniques are still rather effective in deconvolution of the initial nonGaussian process. Keywords: Linear process; Additive Gaussian noise.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA164599

Entities

People

  • K. S. Lii
  • M. Rosenblatt

Organizations

  • University of California, San Diego

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Additives (Chemicals)
  • Analytic Functions
  • California
  • Classification
  • Coefficients
  • Discrete Distribution
  • Fourier Series
  • Gaussian Noise
  • Mathematics
  • Noise
  • Polynomials
  • Random Variables
  • Security
  • Sequences
  • Transfer Functions
  • White Noise

Fields of Study

  • Engineering

Readers

  • Radar Systems Engineering.
  • Statistical inference.