[PDF][PDF] Blind source separation and independent component analysis: A review
Blind source separation (BSS) and independent component analysis (ICA) are generally
based on a wide class of unsupervised learning algorithms and they found potential …
based on a wide class of unsupervised learning algorithms and they found potential …
[图书][B] Modern signal processing
XD Zhang - 2022 - books.google.com
The book systematically introduces theories of frequently-used modern signal processing
methods and technologies, and focuses discussions on stochastic signal, parameter …
methods and technologies, and focuses discussions on stochastic signal, parameter …
[引用][C] Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
A Cichocki - John Wiley & Sons google schola, 2002 - books.google.com
With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …
Convolutive blind source separation methods
In this chapter, we provide an overview of existing algorithms for blind source separation of
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …
convolutive audio mixtures. We provide a taxonomy in which many of the existing algorithms …
Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
Objective: To propose a noise reduction procedure for magnetoencephalography (MEG)
signals introducing an automatic detection system of artifactual components (ICs) separated …
signals introducing an automatic detection system of artifactual components (ICs) separated …
Blind noise reduction for multisensory signals using ICA and subspace filtering, with application to EEG analysis
S Vorobyov, A Cichocki - Biological Cybernetics, 2002 - Springer
In many applications of signal processing, especially in communications and biomedicine,
preprocessing is necessary to remove noise from data recorded by multiple sensors …
preprocessing is necessary to remove noise from data recorded by multiple sensors …
Independent component analysis based on nonparametric density estimation
In this paper, we introduce a novel independent component analysis (ICA) algorithm, which
is truly blind to the particular underlying distribution of the mixed signals. Using a …
is truly blind to the particular underlying distribution of the mixed signals. Using a …
Real-time adaptive EEG source separation using online recursive independent component analysis
Independent component analysis (ICA) has been widely applied to electroencephalographic
(EEG) biosignal processing and brain-computer interfaces. The practical use of ICA …
(EEG) biosignal processing and brain-computer interfaces. The practical use of ICA …
Effective learning rate adjustment of blind source separation based on an improved particle swarm optimizer
ST Hsieh, TY Sun, CL Lin, CC Liu - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Blind source separation (BSS) is a technique used to recover a set of source signals without
prior information on the transformation matrix or the probability distributions of the source …
prior information on the transformation matrix or the probability distributions of the source …