Blind Source Separation on Non-Contact Heartbeat Detection by Non-Negative Matrix Factorization Algorithms

2020 ◽  
Vol 67 (2) ◽  
pp. 482-494 ◽  
Author(s):  
Chen Ye ◽  
Kentaroh Toyoda ◽  
Tomoaki Ohtsuki
Keyword(s):  
Blind Source Separation ◽  
Matrix Factorization ◽  
Source Separation ◽  
Factorization Algorithms ◽  
Non Negative Matrix Factorization

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.

Non-Negative Matrix Factorization for Blind Source Separation

2020 ◽  
pp. 259-282
Author(s):  
Nabila Aoulass ◽  
Otman Chakkour
Keyword(s):  
Blind Source Separation ◽  
Matrix Factorization ◽  
Multiple Solutions ◽  
Scientific Community ◽  
Initial Conditions ◽  
Source Separation ◽  
Local Minima ◽  
The Matrix ◽  
Observation Matrix ◽  
Non Negative Matrix Factorization

NMF method aim to factorize a non-negative observation matrix X as the product X =G.F between two non-negative matrices G and F, respectively the matrix of contributions and profiles. Although these approaches are studied with great interest by the scientific community, they often suffer from a lack of robustness with regard to data and initial conditions and can present multiple solutions. The work of this chapter aims to examine the different approaches of NMF, thus introducing the constraint of sparsity in order to avoid local minima. The NMF can be informed by introducing desired constraints on the matrix F (resp G) such as the sum of 1 of each of its lines. Applications on images made it possible to test the interest of many algorithms in terms of precision and speed.

Sign in / Sign up

Export Citation Format

Share Document