Blind source separation and algorithm improvement based on ICA algorithm

Ziyang Xing; Yujie Zhang

doi:10.1117/12.3015028

4 March 2024 Blind source separation and algorithm improvement based on ICA algorithm

Ziyang Xing, Yujie Zhang

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129811F (2024) https://doi.org/10.1117/12.3015028
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Since the study of the purification and separation of mixed signals has always been one of the core directions of algorithm application, we have analyzed the problem of sound blind source separation of several people or dozens of people, and deeply understood the main algorithms used to solve the blind source separation problem and its improvement methods. Here we want to analyze ICA (Independent Component Analysis) firstly and describe some of the basic knowledge required for ICA separation, then talk about the derivation of the detailed Fast-ICA algorithm and use it to solve the sound source separation problems and the decryption problem of pictures. Finally, based on the direction of convergence velocity, Fast-ICA’s improved method is proposed, which is more robust and faster convergence than the original method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ziyang Xing and Yujie Zhang "Blind source separation and algorithm improvement based on ICA algorithm", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129811F (4 March 2024); https://doi.org/10.1117/12.3015028

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