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arXiv · 2304.12905

Faster than Fast: Accelerating the Griffin-Lim Algorithm

Rossen Nenov·Dang-Khoa Nguyen·Peter Balazs
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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.

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Rossen Nenov, Dang-Khoa Nguyen, Peter Balazs. 2023-04-25. Faster than Fast: Accelerating the Griffin-Lim Algorithm. https://arxiv.org/abs/2304.12905

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