scholarly journals An Experimental Survey on Non-Negative Matrix Factorization for Single Channel Blind Source Separation

2014 ◽  
Vol 100 (5) ◽  
pp. 1-6 ◽  
Author(s):  
Mona NandakumarM ◽  
Edet Bijoy K
Keyword(s):  
Blind Source Separation ◽  
Matrix Factorization ◽  
Single Channel ◽  
Source Separation ◽  
Non Negative Matrix Factorization ◽  
Experimental Survey

Blind source separation of molecular components of the human skin in vivo: non-negative matrix factorization of Raman microspectroscopy data

The Analyst ◽  
2021 ◽  
Author(s):  
B. P. Yakimov ◽  
A. V. Venets ◽  
J. Schleusener ◽  
V. V. Fadeev ◽  
J. Lademann ◽  
...  
Keyword(s):  
Human Skin ◽  
Blind Source Separation ◽  
Matrix Factorization ◽  
Source Separation ◽  
Raman Microspectroscopy ◽  
Molecular Components ◽  
Non Negative Matrix Factorization

The unsupervised non-negative matrix factorization disentangles the molecular components in the human skin in vivo from the Raman microspectroscopy data.

scholarly journals Sampled and discretized of short-time Fourier transform and non-negative matrix factorization: the single-channel source separation case

2020 ◽  
Vol 9 (1) ◽  
pp. 41-48
Author(s):  
Jans Hendry ◽  
Isnan Nur Rifai ◽  
Yoga Mileniandi
Keyword(s):  
Fourier Transform ◽  
Matrix Factorization ◽  
Single Channel ◽  
Source Separation ◽  
Short Time Fourier Transform ◽  
Time Frequency ◽  
Frequency Representation ◽  
Short Time ◽  
Better Than ◽  
Non Negative Matrix Factorization

The Short-time Fourier transform (STFT) is a popular time-frequency representation in many source separation problems. In this work, the sampled and discretized version of Discrete Gabor Transform (DGT) is proposed to replace STFT within the single-channel source separation problem of the Non-negative Matrix Factorization (NMF) framework. The result shows that NMF-DGT is better than NMF-STFT according to Signal-to-Interference Ratio (SIR), Signal-to-Artifact Ratio (SAR), and Signal-to-Distortion Ratio (SDR). In the supervised scheme, NMF-DGT has a SIR of 18.60 dB compared to 16.24 dB in NMF-STFT, SAR of 13.77 dB to 13.69 dB, and SDR of 12.45 dB to 11.16 dB. In the unsupervised scheme, NMF-DGT has a SIR of 0.40 dB compared to 0.27 dB by NMF-STFT, SAR of -10.21 dB to -10.36 dB, and SDR of -15.01 dB to -15.23 dB.

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