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A New Robust Objective Function Based on Maximum Negentropy Approximation in Independent Component Analysis

Author
PINGXING FENG1 ; LIPING LI1 ; HONGBO ZHANG1
[1] School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Source

Wireless personal communications. 2014, Vol 79, Num 2, pp 877-890, 14 p ; ref : 19 ref

ISSN
0929-6212
Scientific domain
Telecommunications
Publisher
Springer, Heidelberg
Publication country
Germany
Document type
Article
Language
English
Author keyword
Independent component analysis (ICA) Objective function Outliers Robustness
Keyword (fr)
Algorithme rapide Analyse composante indépendante Evaluation performance Fonction objectif Maximisation Observation aberrante Point fixe Robustesse Scénario
Keyword (en)
Fast algorithm Independent component analysis Performance evaluation Objective function Maximization Outlier Fix point Robustness Script
Keyword (es)
Algoritmo rápido Analisis componente independiente Evaluación prestación Función objetivo Maximización Observación aberrante Punto fijo Robustez Argumento
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

Discipline
Computer science : theoretical automation and systems Operational research. Management
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28888523

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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