A new method of source separation problems: turbo deflation

2004 ◽  
Author(s):  
O. Benrhouma ◽  
A. Bouallegue ◽  
S. Houcke
Keyword(s):  
Source Separation ◽  
New Method ◽  
Separation Problems

A New Method for Multi-Fault Diagnosis of Rotor System

2005 ◽  
Author(s):  
Jian Ping Jing ◽  
Guang Meng
Keyword(s):  
Fault Diagnosis ◽  
Blind Source Separation ◽  
Frequency Spectrum ◽  
Source Separation ◽  
Rotor System ◽  
New Method ◽  
Oil Whirl ◽  
System 2

A Blind Source Separation (BSS) based new method for multi-fault diagnosis of rotors is presented. The statistic variable based decorrelation approach is employed to analyze the signals of the rotors with crack and rub-impact, crack and oil-whirl multi-faults, the typical features of the frequency spectrum of each fault of the rotor are separated out. The separated results show that (1) the BSS technique is helpful to the multi-fault diagnosis of a rotor system. (2) Due to the signals in the same direction at different locations of a rotor is correlative in some extent, if the observed points are not chosen properly, the separated accuracy will be affected greatly. The analysis shows that: for a one shaft rotor, choosing the signals in x, y direction at a same point of a rotor will lead to a better separated result. (3) If want to applying the BSS to practical diagnosis of rotor system, some efforts and works still need to be done.

A Novel Blind Source Separation Method Based on the Extended Natural Gradient

2012 ◽  
Vol 433-440 ◽  
pp. 3570-3576
Author(s):  
Yu Feng Xue ◽  
Yu Jia Wang ◽  
Qiu Dong Sun
Keyword(s):  
Iterative Algorithm ◽  
Blind Source Separation ◽  
Lie Group ◽  
Mathematical Proof ◽  
Source Separation ◽  
Separation Method ◽  
New Method ◽  
Invariance Property ◽  
Natural Gradient ◽  
Group Invariance

In this paper, a new method is introduced to derive the extended natural gradient, which was proposed by Lewicki and Sejnowski in [1]. However, they made their derivation under many approximations, and the proof is also very complicated. To give a more rigors mathematical proof for this gradient, the Lie group invariance property is introduced which makes the proof much easier and straightforward. In addition, an iterative algorithm through Newton's method is also given to estimate the sources efficiently. The results of the experiments confirm the efficiency of the proposed method.

A New Method for Angle Estimation in MIMO Radar with Blind Source Separation

2014 ◽  
Vol 543-547 ◽  
pp. 2500-2504 ◽  
Author(s):  
Yu Cai Pang ◽  
Chao Zhu Zhang
Keyword(s):  
Closed Form ◽  
Blind Source Separation ◽  
Source Separation ◽  
Algebraic Method ◽  
Mimo Radar ◽  
New Method ◽  
Relative Advantage ◽  
Joint Direction ◽  
Simulation Results ◽  
Source Signals

A joint direction of departures (DODs) and direction of arrivals (DOAs) estimation for bistatic MIMO radar with an algebraic method for blind source separation (BSS) is presented. The proposed method has the relative advantage of simplicity. The DODs and DOAs of targets can be solved in closed-form and paired automatically. Moreover, BSS techniques enable this approach to recover the source signals from the mixed signals. Simulation results verify the effectiveness of the method.

scholarly journals A new method for quantifying the performance of EEG blind source separation algorithms by referencing a simultaneously recorded ECoG signal

2017 ◽  
Vol 93 ◽  
pp. 1-6 ◽  
Author(s):  
Naoya Oosugi ◽  
Keiichi Kitajo ◽  
Naomi Hasegawa ◽  
Yasuo Nagasaka ◽  
Kazuo Okanoya ◽  
...  
Keyword(s):  
Blind Source Separation ◽  
Source Separation ◽  
New Method
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