Faster than Fast: Accelerating the Griffin-Lim Algorithm
Optimization and Control
2023-04-26 v1
Abstract
The phase retrieval problem is found in various areas of applications of engineering and applied physics. It is also a very active field of research in mathematics, signal processing and machine learning. In this paper, we present an accelerated version of the well known Fast Griffin-Lim algorithm (FGLA) for the phase retrieval problem in a general setting. It has increased the speed of convergence, and most importantly, the limit points of the generated sequence can reach a significantly smaller error than the ones generated by FGLA. We will give a motivation of the acceleration and compare it numerically to its predecessors and other algorithms typically used to solve similar problems.
Cite
@article{arxiv.2304.12905,
title = {Faster than Fast: Accelerating the Griffin-Lim Algorithm},
author = {Rossen Nenov and Dang-Khoa Nguyen and Peter Balazs},
journal= {arXiv preprint arXiv:2304.12905},
year = {2023}
}