A MLE-based blind signal separation method for time–frequency overlapped signal using neural network

A MLE-based blind signal separation method for time–frequency overlapped signal using neural network

Abstract The blind signal separation (BSS) algorithm obtains each original/source signal from the observed signal collected by the receiving antenna or sensor. Objective/loss/cost function and optimization method are two key parts of BSS algorithm. Modifying the objective function and optimization f...

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Bibliographic Details
Main Authors: Lihui Pang, Yilong Tang, Qingyi Tan, Yulang Liu, Bin Yang
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Blind signal separation
Time–frequency overlapped signal
Neural networks
Maximum likelihood estimation
Kernel density estimation
Online Access:https://doi.org/10.1186/s13634-022-00956-2

Internet

https://doi.org/10.1186/s13634-022-00956-2

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