NDLI: Natural Gradient Algorithm Based on a Class of Activation Functions and its Applications in BSS

Content Provider	IEEE Xplore Digital Library
Author	Lei Li Yu Wang Xing-Hui Wang
Copyright Year	2006
Description	Author affiliation: Fac. of Math. & Phys., Nanjing Univ. of Post & Telecommun. (Lei Li; Yu Wang; Xing-Hui Wang)
Abstract	Blind source separation has become a dominant domain of artificial neural network. It attempts to recover unknown independent sources from a given set of observed mixtures. The natural gradient algorithm is a very important approach for blind source separation (BSS). The selection of activation function is the key to the algorithm. The aim of this paper is to investigate the blind source separation of a linear mixture of independent communication signals by using the natural gradient algorithm. We compare various activation functions for the algorithm and propose a better one. Simulation results not only demonstrate the algorithm can effectively separate the two kinds of random mixing signals, but also show that the algorithm with proposed activation function converges faster than other activation functions
Sponsorship	IEEE Syst., Man and Cybernetics Hebei Univ.
Starting Page	2985
Ending Page	2989
File Size	521952
Page Count	5
File Format	PDF
ISBN	1424400619
DOI	10.1109/ICMLC.2006.259151
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Source separation Blind source separation Approximation algorithms Artificial neural networks Convergence Algorithm design and analysis Probability density function Intelligent networks Mathematics activation function natural gradient algorithm
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in