By Topic

Recursive estimation of K-distribution parameters

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)
Pei-Jung Chung ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA ; Roberts, William J.J.

We address the problem of estimating parameters of K-distribution. A recursive procedure based on the recursive EM algorithm is derived to find the ML estimates. Recursive EM is a stochastic approximation procedure with a gain matrix derived from the augmented data. Under mild conditions estimates generated by such procedure are characterized by strong consistency and asymptotic normality. Because of the simple structure of the augmented data, the proposed algorithm has a simple implementation. Numerical results show that the proposed approach performs well for various parameter sets.

Published in:

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on  (Volume:2 )

Date of Conference:

6-10 April 2003