Results 11 to 20 of about 1,313 (162)
Hybrid Source Prior Based Independent Vector Analysis for Blind Separation of Speech Signals
IEEE Access, 2020 Blind Source Separation (BSS) application is a delinquent issue in a complex reverberant environment with changing room geometric dimensions and an increasing number of speech sources.
Junaid Bahadar Khan +3 more
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Procedia Computer Science, 2020 Abstract Electrocardiogram (ECG) test is very important for fetus condition inspection so as to avoid stillbirth and neonatal death during pregnancy. It is well known and widely used as a medical tool as it is convenient and non-invasive. Nevertheless, analysing fetal ECG (FECG) signal by using naked eye is tedious as the observed signal is a mixed ...
Dzati Athiar Ramli +2 more
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Group-level component analyses of EEG: validation and evaluation
Frontiers in Neuroscience, 2015 Multi-subject or group-level component analysis provides a data-driven approach to study properties of brain networks. Algorithms for group-level data decomposition of functional magnetic resonance imaging data have been brought forward more than a ...
Rene eHuster +5 more
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Frontiers in Behavioral Neuroscience, 2014 A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous ...
David James White +2 more
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Single-Channel Blind Image Separation Based on Transformer-Guided GAN
Sensors, 2023 Blind source separation (BSS) has been a great challenge in the field of signal processing due to the unknown distribution of the source signal and the mixing matrix.
Yaya Su +3 more
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A Novel Source Number Estimator With Improved Degrees of Freedom
IEEE Access, 2017 This paper proposes a new source number estimator with improved degrees of freedom for blind source separation, where the mixing matrix does not have the parameterized structure.
Qiao Su +4 more
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TWIN FETUS ECG SIGNAL EXTRACTION BASED ON TEMPORAL PREDICTABILITY
Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ, 2020 The most popular defects that infect new born babies have close connection with heart. Approximately 1% percent of new born babies suffering from defects that are caused by heart.
Mushtaq Talib +3 more
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BLIND SOURCE SEPARATION (BSS) APPLIED TO SOUND IN VARIOUS CONDITIONS
Science and Technology Development Journal, 2011 Our ears often simultaneously receive various sound sources (speech, music, noise . . .), but we can still listen to the intended sound. A system of speech recognition must be able to achieve the same intelligent level. The problem is that we receive many mixed (combined) signals from many different source signals, and would like to recover them ...
Phuong Huu Nguyen +2 more
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EURASIP Journal on Audio, Speech, and Music Processing, 2010 Frequency-domain blind source separation (BSS) performs poorly in high reverberation because the independence assumption collapses at each frequency bins when the number of bins increases.
Lin Wang, Heping Ding, Fuliang Yin
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Blind Separation of Nonstationary Sources Based on Spatial Time-Frequency Distributions
EURASIP Journal on Advances in Signal Processing, 2006 Blind source separation (BSS) based on spatial time-frequency distributions (STFDs) provides improved performance over blind source separation methods based on second-order statistics, when dealing with signals that are localized in the time-frequency ...
Zhang Yimin, Amin Moeness G
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