Results 11 to 20 of about 1,353 (157)

Spiny Lobster Sound Identification Based on Blind Source Separation (BSS) for Passive Acoustic Monitoring (PAM)

Procedia Computer Science, 2021
Abstract Spiny lobsters are targeted in capture fisheries due the high market demand and this situation has led to overfishing activities. Therefore, a smart monitoring system is imperative to be developed in handling this issue in order to store the distribution of marine spiny lobsters’ information such as habitat preferences, population density ...
Fatin Izzati M. A. Hadi, Dzati Athiar Ramli, Norsalina Hassan   +2 more
openaire   +1 more source

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, Tariqullah Jan, Ruhul Amin Khalil, Ali Altalbe   +3 more
doaj   +1 more source

DWT-BSS: Blind Source Separation applied to EEG signals by extracting wavelet transform’s approximation coefficients

Journal of Physics: Conference Series, 2023
Abstract The Electroencephalogram (EEG) signal is widely contaminated by a physiological artifact, such as muscle activity, heart rhythm, and eye movement. The researcher has proposed a number of methods to clean the EEG signal. A group of these methods is called Blind Source Separation (BSS).
H. Massar, B. Nsiri, T. Belhoussine Drissi   +2 more
openaire   +1 more source

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, Rene eHuster, Sergey M Plis, Vince D Calhoun, Vince D Calhoun, Vince D Calhoun   +5 more
doaj   +1 more source

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, Huy Quang Tran, Quang Tan Truong   +2 more
openaire   +2 more sources

Source-based neurofeedback methods using EEG recordings: Training altered brain activity in a functional brain source derived from Blind Source Separation

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, Marco eCongedo, Joseph eCiorciari   +2 more
doaj   +1 more source

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, Ali A. Abdullah, Ahmed K. Abdullah, Bahaa Hamzah   +3 more
doaj   +1 more source

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, Yimin Wei, Mingxi Guo, Changliang Deng, Yuehong Shen   +4 more
doaj   +1 more source

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, Dongli Jia, Yankun Shen, Lin Wang   +3 more
doaj   +1 more source

Combining Superdirective Beamforming and Frequency-Domain Blind Source Separation for Highly Reverberant Signals

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
doaj   +1 more source