Blind source extraction of HPGe preamplifier's output signals using the thinICA algorithm: detection and identification of gamma ray emitters

2014 ◽  
Vol 8 ◽  
pp. 1157-1164 ◽  
Author(s):  
Abdelhamid Mekaoui ◽  
Lhachmi El Badri ◽  
El-Mehdi Hamzaoui ◽  
Rajaa Cherkaoui El Moursli
Keyword(s):  
Gamma Ray ◽  
Blind Source Extraction ◽  
Detection And Identification ◽  
Source Extraction ◽  
Gamma Ray Emitters

Research on Blind Signal Extraction Based on Normalized Kurtosis

2014 ◽  
Vol 989-994 ◽  
pp. 3609-3612
Author(s):  
Yong Jian Zhao
Keyword(s):  
Biomedical Applications ◽  
Prior Information ◽  
Signal Extraction ◽  
Promising Technique ◽  
Blind Source Extraction ◽  
Blind Signal ◽  
Source Signal ◽  
Blind Signal Extraction ◽  
Source Signals ◽  
Source Extraction

Blind source extraction (BSE) is a promising technique to solve signal mixture problems while only one or a few source signals are desired. In biomedical applications, one often knows certain prior information about a desired source signal in advance. In this paper, we explore specific prior information as a constrained condition so as to develop a flexible BSE algorithm. One can extract a desired source signal while its normalized kurtosis range is known in advance. Computer simulations on biomedical signals confirm the validity of the proposed algorithm.

A Method for Extracting Signals with Specific Normalized Kurtosis Range

2013 ◽  
Vol 756-759 ◽  
pp. 3845-3848
Author(s):  
Yong Jian Zhao ◽  
Mei Xia Qu ◽  
Hai Ning Jiang
Keyword(s):  
A Priori ◽  
Signal Separation ◽  
Blind Signal Separation ◽  
Validity And Reliability ◽  
Original Source ◽  
Blind Source Extraction ◽  
Blind Signal ◽  
Extraction Algorithm ◽  
Fastica Algorithm ◽  
Source Extraction

The famous FastICA algorithm has been widely used for blind signal separation. For every process, it only converges to an original source which has the maximum negentropy of the underlying signals. To ensure the first output is the desired signal, we incorporate a priori knowledge as a constraint into the FastICA algorithm to construct a robust blind source extraction algorithm. One can extract the desired signal if its normalized kurtosis is known to lie in a specific range, whereas other unwanted signals do not belong to this range. Experimental results on biomedical signals illustrate the validity and reliability of the proposed method.

scholarly journals VHE observations of binary systems performed with the MAGIC telescopes

2018 ◽  
Vol 27 (10) ◽  
pp. 1844010 ◽  
Author(s):  
Alicia López-Oramas ◽  
Oscar Blanch ◽  
Emma de Oña Wilhelmi ◽  
Alba Fernández-Barral ◽  
Daniela Hadasch ◽  
...  
Keyword(s):  
Binary Systems ◽  
Gamma Ray ◽  
Optical Observations ◽  
Ss 433 ◽  
High Energies ◽  
New Type ◽  
Gamma Ray Emitters ◽  
Term Monitoring ◽  
Very High

The improvement on the Imaging Air Cherenkov Technique (IACT) led to the discovery of a new type of sources that can emit at very high energies: the gamma-ray binaries. Only six systems are part of this exclusive class. We summarize the latest results from the observations performed with the MAGIC telescopes on different systems as the gamma-ray binary LS I [Formula: see text]303 and the microquasars SS 433, V404 Cygni and Cygnus X-1, which are considered potential VHE gamma-ray emitters. The binary system LS I [Formula: see text] 303 has been observed by MAGIC in a long-term monitoring campaign. We show the newest results of our search for super-orbital variability also in context of contemporaneous optical observations. Besides, we will present the results of the only super-critical accretor known in our galaxy: SS 433. We will introduce the VHE results achieved with MAGIC after 100[Formula: see text]h of observations on the microquasar Cygnus X-1 and report on the microquasar V404 Cyg, which has been observed with MAGIC after it went through a series of exceptional X-ray outbursts in June 2015.

Sign in / Sign up

Export Citation Format

Share Document