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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Bibliographic Details
Main Authors: Sheng Liu, Bangmin Wang, Lanyong Zhang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/3/973