Fast Thermoacoustic Imaging Based on Compressive Sensing Applying an Effective Algorithm

被引：0

作者：

Wang, Baosheng ^{[1
]}

Wang, Zhicheng ^{[1
]}

Wang, Xiong ^{[1
]}

机构：

[1] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai 201210, Peoples R China

来源：

PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS (ICCEM 2020) | 2020年

基金：

中国国家自然科学基金;

关键词：

Comprevsive sensing; thennoaconstie imaging (TAI);

D O I：

10.1109/iccem47450.2020.9219468

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work reports the application of a new algorithm called FISTA (fast iterative shrinkage-thresholding algorithm) to solve 3D thermoacoustic imaging problem based on compressive sensing. It shows much higher convergence rate than GPSR (gradient projection for sparse reconstruction) algorithm which is normally used for solving thermoacoustic imaging problem based on compressive sensing. A simulation work is done to prove the fact that FISTA is of faster convergence rate than GPSR To achieve a certain recovered image quality, FISTA needs much less iteration steps than GPSR algorithm.

引用

页码：90 / 91

页数：2

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