Abstract:
In this work, we investigate the possibility of incorporating a zooming procedure for the well known iterative adaptive approach (IAA), and thereby allow for higher preci...Show MoreMetadata
Abstract:
In this work, we investigate the possibility of incorporating a zooming procedure for the well known iterative adaptive approach (IAA), and thereby allow for higher precision on relevant areas of the spectrum. These kinds of zooming schemes have been used successfully together with several other methods, and have in many cases shown dramatical decrease in the computational cost. It has earlier been noted that the IAA method does not easily allow for these kind of zooming approaches, as the covariance formulation dictates that the resolution must be the same over all regions of the spectrum. In this paper, we present an iterative zooming procedure which allows for an efficient local estimation of IAA spectrum. The proposed algorithm is shown to allow for significant speedups without sacrificing estimation performance.
Published in: 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
Date of Conference: 27-30 November 2018
Date Added to IEEE Xplore: 05 December 2019
ISBN Information: