Enhancement of Signal to Noise Ratio Using Bispectrum. A Quantitative Analysis for Very Low SNR

Abstract

Bispectrum has been widely used to enhance the SNR. This is based on the assumption that the HOS properties of the signal of interest are different to the HOS properties of the noise. In the present work, we consider the use of Bispectrum techniques when repeated measurements are made of a deterministic signal embedded in random noise where SNR is in the range from -17dB up to 0dB. The performance of estimators and reconstruction algorithms are evaluated using simulated evoked potential data. We conclude that the best performance is achieved if we reconstruct the phase by bispectrum and amplitude through a second order method such as "Spectral Subtraction."

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA412482

Entities

People

  • Ali Reshad
  • Mohammed H. Moradi
  • Payam Yeganeh

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Amplitude
  • Background Noise
  • Bioengineering
  • Biomedical Engineering
  • Data Science
  • Data Sets
  • Electrophysiological Phenomena
  • Engineering
  • Estimators
  • Information Science
  • Noise
  • Order Statistics
  • Probability Density Functions
  • Random Variables
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Acoustical Oceanography.
  • Computational Modeling and Simulation
  • Statistical inference.