Blind Source Separation Method Based on Neural Network with Bias Term and Maximum Likelihood Estimation Criterion

Convergence speed and steady-state source separation performance are crucial for enable engineering applications of blind source separation methods. The modification of the loss function of the blind source separation algorithm and optimization of the algorithm to improve its performance from the pe...

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Detalles Bibliográficos
Autores principales: Liu, Sheng, Wang, Bangmin, Zhang, Lanyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867157/
https://www.ncbi.nlm.nih.gov/pubmed/33535650
http://dx.doi.org/10.3390/s21030973

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7867157/
https://www.ncbi.nlm.nih.gov/pubmed/33535650
http://dx.doi.org/10.3390/s21030973

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