Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

A statistical analysis of state-space approaches to signal modeling

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)
Kot, A.C. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Li Kwok Hung

This paper addresses the problem of analyzing the perturbation of state-space approaches to signal modeling. Principal component techniques have been used in many algorithms involving frequency estimation and system identification. It is shown that in many instances the performance of these principal component based approaches is far better than that of classical methods. However, most of the performance evaluations of these methods are based on simulation results only. In this paper, the perturbation of the parameter estimate for a single sinusoid signal corrupted with noise is studied analytically using a power method

Published in:

Networks, 1993. International Conference on Information Engineering '93. 'Communications and Networks for the Year 2000', Proceedings of IEEE Singapore International Conference on  (Volume:1 )

Date of Conference:

6-11 Sep 1993