標題: | Decentralized Expectation Consistent Signal Recovery for Phase Retrieval |
作者: | Wang, Chang-Jen Wen, Chao-Kai Tsai, Shang-Ho Jin, Shi 電子工程學系及電子研究所 電控工程研究所 Department of Electronics Engineering and Institute of Electronics Institute of Electrical and Control Engineering |
關鍵字: | Signal processing algorithms;Transforms;Approximation algorithms;Inference algorithms;Robustness;Bayes methods;Phase measurement;Phase retrieval;Bayes-optimal inference;expectation consistent;decentralized algorithm;distributed processing |
公開日期: | 1-一月-2020 |
摘要: | In this study, we present a phase retrieval solution that aims to recover signals from noisy phaseless measurements. A recently proposed scheme known as generalized expectation consistent signal recovery (GEC-SR), has shown better accuracy, speed, and robustness than many existing methods. However, sensing high-resolution images with large transform matrices presents a computational burden for GEC-SR, thereby limiting its applications to areas, such as real-time implementation. Moreover, GEC-SR does not support distributed computing, which is an important requirement to modern computing. To address these issues, we propose a novel decentralized algorithm called & x201C;deGEC-SR & x201D; by leveraging the core framework of GEC-SR. deGEC-SR exhibits excellent performance similar to GEC-SR but runs tens to hundreds of times faster than GEC-SR. We derive the theoretical state evolution for deGEC-SR and demonstrate its accuracy using numerical results. Analysis allows quick generation of performance predictions and enriches our understanding on the proposed algorithm. |
URI: | http://dx.doi.org/10.1109/TSP.2020.2974711 http://hdl.handle.net/11536/154236 |
ISSN: | 1053-587X |
DOI: | 10.1109/TSP.2020.2974711 |
期刊: | IEEE TRANSACTIONS ON SIGNAL PROCESSING |
Volume: | 68 |
起始頁: | 1484 |
結束頁: | 1499 |
顯示於類別: | 期刊論文 |