Noise Reduction in Reverberant Environments with a Blind Source Separation Algorithm

2011 ◽  
Author(s):  
Felipe Figueiredo ◽  
Carlos Ynoguti
Keyword(s):  
Noise Reduction ◽  
Blind Source Separation ◽  
Source Separation ◽  
Separation Algorithm ◽  
Reverberant Environments

scholarly journals Efficient Sparse Blind Source Separation Algorithm for two- Channel Acoustic Noise Reduction

2019 ◽  
Vol 01 (01) ◽  
pp. 31-40
Author(s):  
Rédha Bendoumia
Keyword(s):  
Noise Reduction ◽  
Blind Source Separation ◽  
Acoustic Noise ◽  
Source Separation ◽  
Mean Square ◽  
Least Mean Square ◽  
Separation Algorithm ◽  
Nlms Algorithm ◽  
Normalized Least Mean Square ◽  
Least Mean Square Algorithm

Recently, the acoustic noise reduction problem is treated by twochannel forward blind source separation (BSS) techniques combined with normalized least mean square algorithm (T-FNLMS). The TFNLMS algorithm shows good performances in two-channel convolutive dispersive mixture. In this paper, we propose new BSS structure based on the two-channel sparse normalized least mean square algorithm (TS-NLMS). The TS-NLMS algorithm is proposed exactly when the convolutive mixing system is characterized by sparse impulse responses. To confirm the good performance of this proposed algorithm, intensive experiments are done in acoustic noise reduction.

Extraction of fetal ECG a semi-blind source separation algorithm combined with parametrized kalman filter

2021 ◽  
Author(s):  
J. Sakubar Sadiq ◽  
G. Arunmani ◽  
P. Ravivarma ◽  
N. Karthika Devi ◽  
A. Hemalatha ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Blind Source Separation ◽  
Source Separation ◽  
Separation Algorithm ◽  
Fetal Ecg
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