Results 301 to 310 of about 195,151 (333)

Blind Signal Separation Algorithm Evaluation

2001
Recently, many new Blind Signal Separation (BSS) algorithms have been introduced. Authors evaluate the performance of their algorithms in various ways. Among these are speech recognition rates, plots of separated signals, plots of cascaded mixinglunmixing impulse responses and signal to noise ratios.
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Blind Signal Separation with Speech Enhancement

2013
A new speech enhancement architecture using convolutive blind signal separation (CBSS) and subspace-based speech enhancement is presented. The spatial and spectral information are integrated to enhance the target speech signal and suppress both interference noise and background noise.
Chang-Hong Lin, Hsiao-Ping Lee, Jyun-Hong Li, Chih-Wei Su, Yu-Hao Chin, Jhing-Fa Wang, Jia-Ching Wang   +6 more
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Blind Signal Separation

2004
This thesis addresses the blind signal separation (BSS) problem. The essence of the BSS problem is to recover a set of source signals from a group of sensor observations. These observations can be modeled as instantaneous or convolutive mixtures of the sources.
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‘Signal Subspace’ Blind Source Separation Applied to Fetal Magnetocardiographic Signals Extraction

2004
In this paper we apply Independent Component Analysis to magnetocardiographic data recorded from the abdomen of pregnant women. In particular, we include a dimensionality reduction in the ’Cumulant Based Iterative Inversion’ algorithm to achieve a ’signal subspace’ subdivision, which enhances the algorithm’s efficacy in resolving the signals of ...
Barbati G, Porcaro C, Salustri C
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Blind separation of signal sources

2008
Blind source separation (BSS) is a field developed in signal processing and neural network communities over last 15-20 years. It found numerous applications in science and engineering such as acoustics, biomedical signal analysis, communications, image segmentation and deconvolution, spectroscopy, bioinformatics, chemometrics, etc.
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Recovery of Peripheral Nerve Signals Through Blind Separation

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
Patients with neurological disorders can regain lost motor function through functional electrical stimulation (FES). In closed-loop prosthetic devices, neural signals can be obtained using cuff electrodes which have been shown to be stable for long-term recordings.
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9 Blind Signal Separation

2022
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SignalP 6.0 predicts all five types of signal peptides using protein language models

Nature Biotechnology, 2022
Felix Teufel, Jose Juan Almagro Armenteros, Alexander Rosenberg Johansen   +2 more
exaly  

Blind Signal Separation II

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, 2006
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Blind Signal Separation I

2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, 2006
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