NDLI: Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering

Content Provider	IEEE Xplore Digital Library
Author	Filho, E. de Seixas, J.M. Caloba, L.P.
Copyright Year	2008
Description	Author affiliation: Signal Process. Lab., Fed. Univ. of Rio de Janeiro, Rio de Janeiro (Filho, E.; de Seixas, J.M.; Caloba, L.P.)
Abstract	In particle collider experiments a huge amount of information is produced, but only a small part is relevant for physics characterization. An efficient filtering (trigger) system is required to guarantee that valuable signatures will be recorded and most of the background noise rejected. In previous works the standard linear independent component analysis (ICA) model was used for feature extraction and good results were obtained, but it is known that the measured signals are modified by some sort of nonlinear phenomena. Another characteristic of our particular application is that there exists more sensors than original sources (the problem is over determined). In this work is proposed a novel structural model for the over determined Non-linear ICA problem. Multi-layer perceptron networks were applied for nonlinear mixing function estimation. The extracted nonlinear independent components were used to feed a neural filter that performs online particle classification with high discrimination performance.
Starting Page	159
Ending Page	164
File Size	820548
Page Count	6
File Format	PDF
ISBN	9781424432196
ISSN	15224899
DOI	10.1109/SBRN.2008.11
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Independent component analysis Filtering Physics Background noise Measurement standards Feature extraction Sensor phenomena and characterization Multilayer perceptrons Feeds Filters ATLAS detector Nonlinear ICA Feature Extraction Online Filtering
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

A Blind Separation Method of Noised Image Based on Neural Network Nonlinear Filtering and Independent Component Analysis

Segmented Independent Component Analysis for Online Filtering Using Highly Segmented Detectors

Blind speech extraction using subband independent component analysis with scale adjustment function and neural memory

Source diversity and feature-level fusion

Online neural filtering operating over segmented discriminating components

Blind EGG separation using ICA neural networks

Blind image extraction from nonlinear mixtures using MLP-based ICA

A Texture Images Segmentation Method Based on ICA Filters

Neural online filtering based on preprocessed calorimeter data

Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering

Similar Documents

A Blind Separation Method of Noised Image Based on Neural Network Nonlinear Filtering and Independent Component Analysis

Segmented Independent Component Analysis for Online Filtering Using Highly Segmented Detectors

Blind speech extraction using subband independent component analysis with scale adjustment function and neural memory

Source diversity and feature-level fusion

Online neural filtering operating over segmented discriminating components

Blind EGG separation using ICA neural networks

Blind image extraction from nonlinear mixtures using MLP-based ICA

A Texture Images Segmentation Method Based on ICA Filters

Neural online filtering based on preprocessed calorimeter data

Segmented Overdetermined Nonlinear Independent Component Analysis for Online Neural Filtering