On coefficient delay in natural gradient blind deconvolution and source separation algorithms

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper, we study the performance effects caused by coefficient delays in natural gradient blind deconvolution and source separation algorithms. We present a statistical analysis of the effect of coefficient delays within such algorithms, quantifying the relative loss in performance caused by such coefficient delays with respect to delayless algorithm updates. We then propose a simple change to one such algorithm to improve its convergence performance. © Springer-Verlag 2001.

Cite

CITATION STYLE

APA

Douglas, S. C., Sawada, H., & Makino, S. (2004). On coefficient delay in natural gradient blind deconvolution and source separation algorithms. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 634–642. https://doi.org/10.1007/978-3-540-30110-3_81

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free