Results 271 to 280 of about 451,315 (310)

Blind Source Separation of Peripheral Nerve Recordings

Journal of Neural Engineering, 2007
Prosthetic devices can be controlled using signals recorded in parts of the body where sensation and/or voluntary movement have been retained. Although neural prosthetic applications have used single-channel recordings, multiple-channel recordings could provide a significant increase in useable control signals.
W, Tesfayesus, D M, Durand
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Noise source separation based on the blind source separation

2011 Chinese Control and Decision Conference (CCDC), 2011
The identification of acoustic source accurately is a fundamental problem in noise control. In the practical project, if the contribution of multi-source-noise to the whole was identified, and then the noise level can be reduced accordingly. To get the accurate noise signal, measurements should be possible while the machines are constantly in action ...
Yang Yang, Zuoli Li, Xiuqin Wang, Di Zhang   +3 more
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Robust Blind Source Separation by Beta Divergence

Neural Computation, 2002
Blind source separation is aimed at recovering original independent signals when their linear mixtures are observed. Various methods for estimating a recovering matrix have been proposed and applied to data in many fields, such as biological signal processing, communication engineering, and financial market data analysis.
Mihoko, Minami, Eguchi, Shinto
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Proportionate Algorithms for Blind Source Separation

2014
In this paper we propose an extension of time-domain Blind Source Separation algorithms by applying the well known proportionate and improved proportionate adaptive algorithms. These algorithms, known in the context of adaptive filtering, are able to use the sparseness of acoustic impulse responses of mixing environments and give better performances ...
SCARPINITI, MICHELE, COMMINIELLO, DANILO, SCARDAPANE, SIMONE, PARISI, Raffaele, UNCINI, Aurelio   +4 more
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Only Mostly Blind Source Separation

2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), 2011
In acoustic and bioelectrical environments characterized by multiple simultaneous sources, effective blind source separation from sensor response mixtures becomes difficult as the number of sources increases—especially when the true number of sources is both unknown and changing over time.
Richard Goldhor, Keith Gilbert, Joel MacAuslan, Karen Payton   +3 more
openaire   +1 more source

Blind source separation with noisy sources

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 2002
A new method of source separation with noisy observations is proposed in the case of two sensors. Each observation contains a mixture of two signals with noise. The objective is to estimate the frequency spectra of the linear filters that combine the two signals in the data stream.
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Blind source separation for BLAST

2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628), 2003
We present a new blind source separation (BSS) approach for Bell Labs layered space-time (BLAST) communication system. The proposed algorithm is derived from the multimodulus algorithm (MMA) and employs the Gram-Schmidt orthogonalization procedure. The basic idea is to adjust the real and imaginary parts of the equalizer matrix separately and then ...
P. Sansrimahachai, D.B. Ward, A.G. Constantinides   +2 more
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Epanechnikov kernel for PDF estimation applied to equalization and blind source separation

Signal Processing, 2021
Caroline P. A. Moraes, D. Fantinato, A. Neves   +2 more
semanticscholar   +1 more source

Removing electroencephalographic artifacts by blind source separation.

Psychophysiology, 2000
Tzyy-Ping Jung, Tzyy-Ping Jung, S. Makeig, Colin Humphries, Te-Won Lee, Te-Won Lee, M. Mckeown, V. Iragui, T. Sejnowski, T. Sejnowski   +9 more
semanticscholar   +1 more source

Blind and semi-blind source separation

2007
After a brief state-of-the-art description, we introduce the fundamental concepts of independent component analysis, which is the reference technique we used to solve the blind- or semi-blind source separation problem for astrophysical images. The specific aspects of this problem are then presented, and the results we obtained with some specific ...
Salerno E, Bedini L, Kuruoglu E E, Tonazzini A   +3 more
openaire   +2 more sources