By Topic

A fast recursive least-squares with a weighting factor based an a 2-D NSHP AR model and its application to spectral estimation

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
$33 $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

3 Author(s)
E. Horita ; Fac. of Eng., Kanazawa Univ., Japan ; K. Nishikawa ; Y. Miyanaga

This paper proposes a fast RLS based on a two-dimensional AR model in order to estimate a power spectrum of signals about time and space. The proposed method introduces a non-symmetric half plane (NSHP) model and an exponential weighting factor about time. Moreover, the calculation cost of the conventional FRLS is reduced

Published in:

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Date of Conference:

1-4 Sep 1996