On Detection of Number of Signals in Presence of White Noise.

Abstract

In this paper, the authors propose procedures for the detection of the number of signals in presence of Gaussian white noise. The methods used fall within the framework of the model selection procedures using an information theoretic criterion. The strong consistency of the estimates of the number of signals, under different situations, is established. Extensions of the results are also discussed to the case when the noise is not necessarily Gaussian.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1985
Accession Number
ADA164211

Entities

People

  • L. C. Zhao
  • Paruchuri R. Krishnaiah
  • Z. D. Bai

Organizations

  • University of Pittsburgh

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Consistency
  • Covariance
  • Data Science
  • Detection
  • Factor Analysis
  • Information Science
  • Information Theory
  • Mathematics
  • Multivariate Analysis
  • New York
  • Probability
  • Signal Detection
  • Signal Processing
  • Stationary Processes
  • Statistical Analysis
  • Statistics
  • White Noise

Fields of Study

  • Engineering

Readers

  • Statistical inference.