Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642159947, 9783642159954

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Strong Sub- and Super-Gaussianity

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_38 ◽

2010 ◽

pp. 303-310 ◽

Cited By ~ 10

Author(s):

Jason A. Palmer ◽

Ken Kreutz-Delgado ◽

Scott Makeig

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Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_75 ◽

2010 ◽

pp. 604-611 ◽

Cited By ~ 2

Author(s):

Eva L. Dyer ◽

Marco F. Duarte ◽

Don H. Johnson ◽

Richard G. Baraniuk

Keyword(s):

Sparse Approximation ◽

Calcium Signals

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Blind Speech Extraction Combining Generalized MMSE STSA Estimator and ICA-Based Noise and Speech Probability Density Function Estimations

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_7 ◽

2010 ◽

pp. 49-56 ◽

Cited By ~ 1

Author(s):

Hiroshi Saruwatari ◽

Ryoi Okamoto ◽

Yu Takahashi ◽

Kiyohiro Shikano

Keyword(s):

Probability Density Function ◽

Probability Density ◽

Density Function ◽

Speech Extraction

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A New Geometrical BSS Approach for Non Negative Sources

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_66 ◽

2010 ◽

pp. 530-537 ◽

Cited By ~ 4

Author(s):

Cosmin Lazar ◽

Danielle Nuzillard ◽

Ann Nowé

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A General Approach for Robustification of ICA Algorithms

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_37 ◽

2010 ◽

pp. 295-302 ◽

Cited By ~ 2

Author(s):

Matthew Anderson ◽

Tülay Adalı

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Time Series Causality Inference Using Echo State Networks

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_35 ◽

2010 ◽

pp. 279-286 ◽

Cited By ~ 1

Author(s):

N. Michael Mayer ◽

Oliver Obst ◽

Chang Yu-Chen

Keyword(s):

Time Series ◽

Echo State Networks ◽

Causality Inference

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Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_31 ◽

2010 ◽

pp. 245-253 ◽

Cited By ~ 22

Author(s):

Hirokazu Kameoka ◽

Takuya Yoshioka ◽

Mariko Hamamura ◽

Jonathan Le Roux ◽

Kunio Kashino

Keyword(s):

Statistical Model ◽

Blind Source Separation ◽

Source Separation ◽

Speech Signals

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Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_3 ◽

2010 ◽

pp. 17-24 ◽

Cited By ~ 1

Author(s):

Zbyněk Koldovský ◽

Petr Tichavský ◽

Jiří Málek

Keyword(s):

Time Domain ◽

Source Separation ◽

Separation Method ◽

Audio Source Separation

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Adaptive Time-Domain Blind Separation of Speech Signals

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_2 ◽

2010 ◽

pp. 9-16 ◽

Cited By ~ 3

Author(s):

Jiří Málek ◽

Zbyněk Koldovský ◽

Petr Tichavský

Keyword(s):

Time Domain ◽

Speech Signals ◽

Blind Separation ◽

Adaptive Time

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Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-15995-4_54 ◽

2010 ◽

pp. 434-441 ◽

Cited By ~ 3

Author(s):

Florian Blöchl ◽

Andreas Kowarsch ◽

Fabian J. Theis

Keyword(s):

Prior Knowledge ◽

Source Separation ◽

Graph Model ◽

Second Order

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Latent Variable Analysis and Signal Separation - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Strong Sub- and Super-Gaussianity

Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation

Blind Speech Extraction Combining Generalized MMSE STSA Estimator and ICA-Based Noise and Speech Probability Density Function Estimations

A New Geometrical BSS Approach for Non Negative Sources

A General Approach for Robustification of ICA Algorithms

Time Series Causality Inference Using Echo State Networks

Statistical Model of Speech Signals Based on Composite Autoregressive System with Application to Blind Source Separation

Time-Domain Blind Audio Source Separation Method Producing Separating Filters of Generalized Feedforward Structure

Adaptive Time-Domain Blind Separation of Speech Signals

Second-Order Source Separation Based on Prior Knowledge Realized in a Graph Model

Latent Variable Analysis and Signal Separation - Lecture Notes in Computer Science
Latest Publications