Journal
PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE
Volume 22, Issue 3, Pages 275-281Publisher
EDITURA ACAD ROMANE
Keywords
fast-ICA; nonlinear function; convergence
Categories
Funding
- project of industrial-academic-research cooperation of Jiangsu province [BY2020241]
- opening project of Henan engineering laboratory of photoelectric sensor and intelligent measurement and control [HELPSIMC-2020-002]
- qing lan project of Jiangsu province
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The selection of the nonlinear function in Fast-ICA has a significant impact on the separation performance. This paper specifically demonstrates the convergence performance of the sine function in Fast-ICA and shows that the algorithm is suitable for various types of signals. Additionally, the algorithm's performance is analyzed as the number of sources increases.
The selection of nonlinear function has a significant influence on the separation performance of Fast-ICA. This paper proves the convergence performance of the sine function as a Fast-ICA nonlinear function. The simulation results show that the proposed algorithm is suitable for an image signal, communication signal, sound signal, and linear frequency modulated signal. Furthermore, the performance of the algorithm according to the increase of the number of sources is analyzed.
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