A Theoretical Investigation of a Method for Analyzing Random Signals.

Abstract

The zero crossings of random noise can be divided into two types, corresponding to the forward and backward rotation of a complex vector whose real and imaginary parts are the noise signal and its Hilbert transform. The statistics of the two kinds of crossing are being investigated to see how well a detection system, based upon measurements of the two kinds of crossings, can determine the presence of a non random signal in a Gaussian noise environment. A formula for the probability that the vector is rotating backwards at any fixed line had previously been used. A rigorous derivation of a more general version of this formula has now been obtained.

Document Details

Document Type
Technical Report
Publication Date
May 07, 1975
Accession Number
ADA010208

Entities

People

  • R. O. Rowlands

Organizations

  • Pennsylvania State University

Tags

DTIC Thesaurus Topics

  • Crossings
  • Data Science
  • Detection
  • Environment
  • Gaussian Noise
  • Information Science
  • Mathematics
  • Measurement
  • Noise
  • Probability
  • Rotation
  • Statistics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Mathematical Modeling and Probability Theory.