Title Computationally Efficient Capon- and APES-based Coherence Spectrum Estimation
Authors Kostas Angelopoulos, George-Othan Glentis, Andreas Jakobsson
Alternative Location http://dx.doi.org/10.1109/T..., Restricted Access
Publication IEEE Transactions on Signal Processing
Year 2012
Volume 60
Issue 12
Pages 6674 - 6681
Document type Article
Status Published
Quality controlled Yes
Language eng
Publisher IEEE
Abstract English The coherence spectrum is of notable interest as a bivariate<br> spectral measure in a variety of application, and the topic has lately attracted<br> interest with the recent formulation of several high-resolution data<br> adaptive estimators. In this work, we further this development with the<br> presentation of computationally efficient implementations of the CaponandAPES-<br> basedMSCestimators. The presented implementations furthers<br> the recent development of exploiting the estimators’ inherently low displacement<br> rank of the necessary products of Toeplitz-like matrices to include<br> also the required cross-correlation covariance matrices for the mentioned<br> coherence algorithms. Numerical simulations together with theoretical<br> complexity measures illustrate the performance of the proposed implementations.
Keywords Coherence spectrum, data adaptive estimators, efficient algorithms,
ISBN/ISSN/Other ISSN: 1941-0476 (online)

Questions: webmaster
Last update: 2013-04-11

Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)