Statistical Interface for Chaotic Signal in Noise.

Abstract

A method for determining the frequency of a real sinusoid is proposed. Based on exponential sampling of the waveform, the approach requires virtually no computation. It can be easily implemented in digital hardware. A dynamic programming algorithm and a suboptical kit computationally efficient method for estimation of a chaotic signal in white Gaussian noise are proposed. The nonlinear map is assumed known so that only the Initial condition need be estimated. Computer simulations confirm that both approaches produces efficient estimates at high signal-to-noise ratios. (AN)

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1994
Accession Number
ADA290271

Entities

People

  • Steven Kay

Organizations

  • University of Rhode Island

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computer Programming
  • Computer Simulations
  • Digital Signal Processing
  • Dynamic Programming
  • Electrical Engineering
  • Engineering
  • Errors
  • Frequency
  • Probability
  • Random Variables
  • Rhode Island
  • Sampling
  • Signal Processing
  • Simulations
  • Waveforms

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Image Processing and Computer Vision.
  • Wave Propagation and Nonlinear Chaotic Dynamics.