Independent Component Analysis for Audio and Biosignal Applications
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Published By Intech

9789535107828

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Advancements in the Time-Frequency Approach to Multichannel Blind Source Separation

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/39179 ◽

2012 ◽

Cited By ~ 1

Author(s):

Ingrid Jafari ◽

Roberto Togneri ◽

Sven Nordholm

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Time Frequency

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Non-Negative Matrix Factorization with Sparsity Learning for Single Channel Audio Source Separation

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48068 ◽

2012 ◽

Author(s):

Bin Gao ◽

W.L. Woo

Keyword(s):

Matrix Factorization ◽

Single Channel ◽

Source Separation ◽

Audio Source Separation ◽

Non Negative Matrix Factorization

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Convolutive ICA for Audio Signals

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48238 ◽

2012 ◽

Author(s):

Masoud Geravanchizadeh ◽

Masoumeh Hesam

Keyword(s):

Audio Signals

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Monaural Audio Separation Using Spectral Template and Isolated Note Information

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/51606 ◽

2012 ◽

Author(s):

Anil Lal ◽

Wenwu Wang

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Associative Memory Model Based in ICA Approach to Human Faces Recognition

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48442 ◽

2012 ◽

Author(s):

Celso Hilario ◽

Josue-Rafael Montes ◽

Teresa Hernndez ◽

Leonardo Barriga ◽

Hugo Jimnez

Keyword(s):

Associative Memory ◽

Memory Model ◽

Model Based ◽

Human Faces

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ICA Applied to VSD Imaging of Invertebrate Neuronal Networks

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48687 ◽

2012 ◽

Author(s):

Evan S. ◽

Angela M. ◽

Sunil K. ◽

William N.

Keyword(s):

Neuronal Networks

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Blind Source Separation for Speech Application Under Real Acoustic Environment

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/45725 ◽

2012 ◽

Author(s):

Hiroshi Saruwatari ◽

Yu Takahashi

Keyword(s):

Blind Source Separation ◽

Source Separation ◽

Acoustic Environment

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Blind Implicit Source Separation – A New Concept in BSS Theory

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/45881 ◽

2012 ◽

Author(s):

Fernando J. ◽

Manuel A.

Keyword(s):

Source Separation

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Unsupervised and Neural Hybrid Techniques for Audio Signal Classification

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48382 ◽

2012 ◽

Cited By ~ 4

Author(s):

Andrs Ortiz ◽

Lorenzo J. ◽

Ana M. ◽

Isabel Barbancho

Keyword(s):

Audio Signal ◽

Signal Classification ◽

Hybrid Techniques ◽

Audio Signal Classification

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ICA-Based Fetal Monitoring

Independent Component Analysis for Audio and Biosignal Applications ◽

10.5772/48452 ◽

2012 ◽

Cited By ~ 1

Author(s):

Rubn Martn-Clemente ◽

Jos Luis

Keyword(s):

Fetal Monitoring

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Independent Component Analysis for Audio and Biosignal ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Intech

Advancements in the Time-Frequency Approach to Multichannel Blind Source Separation

Non-Negative Matrix Factorization with Sparsity Learning for Single Channel Audio Source Separation

Convolutive ICA for Audio Signals

Monaural Audio Separation Using Spectral Template and Isolated Note Information

Associative Memory Model Based in ICA Approach to Human Faces Recognition

ICA Applied to VSD Imaging of Invertebrate Neuronal Networks

Blind Source Separation for Speech Application Under Real Acoustic Environment

Blind Implicit Source Separation – A New Concept in BSS Theory

Unsupervised and Neural Hybrid Techniques for Audio Signal Classification

ICA-Based Fetal Monitoring

Independent Component Analysis for Audio and Biosignal Applications
Latest Publications