Cart (Loading....) | Create Account
Close category search window
 

Correlation matrix for quadrature components of two cross-correlated stationary narrow-band Gaussian processes

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

Collecting the work of several previous authors concerning the cross-correlation functions of stationary narrow-band Gaussian processes with their Hilbert transforms, a brief derivation is given for the correlation matrix for the quadrature components of two cross-correlated stationary narrow-band Gaussian processes. The elements of the matrix are represented in terms of the auto-correlation functions RN(τ) and RN2(τ) of the two Gaussian processes, the cross-correlation function R12(τ), and the Hilbert transforms of these functions. Alternative representations are given in terms of the power density spectra S1(ω) and S2(ω) and the cross density spectrum S12(ω) of the two processes. The sixteen matrix elements are found to consist of a maximum of six independent functions.

Published in:

Proceedings of the IEEE  (Volume:60 ,  Issue: 2 )

Date of Publication:

Feb. 1972

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.