By Topic

Design of signal-subspace cost functionals for parameter 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

2 Author(s)
W. Xu ; Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA ; M. Kaveh

A probabilistic approach to the quantification of the resolving ability of a general class of MUSIC type estimators (m-estimators) is presented. Based on a resolution-maximizing criterion of optimality, a cost functional is designed for a specific parametric subclass of m-estimators. An effective data-adaptive value for the parametric class is also presented and the results are generalized to a broader nonparametric subclass

Published in:

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on  (Volume:5 )

Date of Conference:

23-26 Mar 1992