Please use this identifier to cite or link to this item:
|Scopus||Web of Science®||Altmetric|
|Title:||Performance breakdown in Music, G-Music and Maxiumum Likelihood Estimation|
Johnson, Ben A.
|Citation:||IEEE International Conference on Acoustics, Speech and Signal Processing, 15-20 April, 2007 :pp.II-1049-II-1052|
|Conference Name:||IEEE International Conference on Acoustics, Speech and Signal Processing (2007 : Honolulu, Hawaii)|
|School/Discipline:||School of Electrical and Electronic Engineering|
|Abramovich, Y.I., Johnson, B.A. and Mestre, X.|
|Abstract:||Performance of MUSIC and maximum likelihood direction-of-arrival estimation in the "threshold" region is compared with the performance of the recently introduced G-MUSIC, based on the general statistical analysis (GSA) methodology. While the superiority of G-MUSIC over MUSIC has been demonstrated, it remains to be established whether G-MUSIC also outperforms MLE in scenarios within the threshold region. Comparisons of likelihood functions for MUSIC and G-MUSIC generated solutions as well as clairvoyantly optimized solutions are conducted to address this question.|
|Description:||© Copyright 2008 IEEE – All Rights Reserved|
|Appears in Collections:||Electrical and Electronic Engineering publications|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.