Results 11 to 20 of about 5,521,232 (198)

Investigation of Separating Temperature-Induced Structural Strain Using Improved Blind Source Separation (BSS) Technique. [PDF]

Sensors (Basel)
The strain data acquired from structural health monitoring (SHM) systems of large-span bridges are often contaminated by a mixture of temperature-induced and vehicle-induced strain components, thereby complicating the assessment of bridge health. Existing approaches for isolating temperature-induced strains predominantly rely on statistical temperature–
Gu H, Zhang X, Sumarac D, Peng J, Dunai L, Zhang Y.   +5 more
europepmc   +4 more sources

A Novel Radar Mainlobe Anti-Jamming Method via Space-Time Coding and Blind Source Separation [PDF]

Sensors
This paper proposes a radar mainlobe anti-jamming method based on Space-Time Coding (STC) and Blind Source Separation (BSS). Addressing the performance degradation issue of traditional BSS methods under low Signal-to-Noise Ratio (SNR) and insufficient ...
Xinyu Ge, Yu Wang, Yangcheng Zheng, Guodong Jin, Daiyin Zhu   +4 more
doaj   +2 more sources

BLIND SOURCE SEPARATION OF MECHANICAL FAULT BASED ON BAT ALGORITHM

Jixie qiangdu, 2018
Based on the advantages of Bat Algorithm（ BA） that is easily to be realized,fast convergence speed,high efficiency and high universality,combining BA and blind source separation,a new method of mechanical failure blind source separation based on BA is ...
SUN YiJie, LI FuSheng, LIANG MingLiang, DONG LiSheng   +3 more
doaj   +2 more sources

An Anti-Mainlobe Suppression Jamming Method Based on Improved Blind Source Separation Using Variational Mode Decomposition and Wavelet Packet Decomposition [PDF]

Sensors
Mainlobe suppression jamming significantly degrades radar detection performance. The conventional blind source separation (BSS) algorithms often fail under high-jamming-to-signal-ratio (JSR) and low-signal-to-noise-ratio (SNR) conditions.
Ruike Li, Huafeng He, Xiang Liu, Liyuan Wang, Yongquan You, Zhen Li, Xiaofei Han   +6 more
doaj   +2 more sources

Denoising Using Blind Source Separation for Pyroelectric Sensors

EURASIP Journal on Advances in Signal Processing, 2001
This paper deals with a process of denoising based on a Blind Source Separation (BSS) method. This technique is inserted in an experimental device of nondestructive testing. Its excitation is a laser beam and its detectors are pyroelectric sensors.
Huez Regis, Nuzillard Danielle, Billat Alain   +2 more
doaj   +2 more sources

Variability in Preprocessing and Analysis of the Error‐Related Negativity in Adult Response‐Conflict Studies: A Systematic Review [PDF]

Psychophysiology, Volume 63, Issue 10, October 2026.
ABSTRACT The analysis of EEG (electroencephalography) data affords many defensible choices, creating substantial researcher degrees of freedom. While stimulus‐locked components such as the N400 show wide methodological variability and incomplete reporting, it has been unclear whether this generalizes to the response‐locked error‐related negativity (ERN)
Katharina Paul, Johanna Paping, Jan Wacker   +2 more
wiley   +2 more sources

Speech enhancement via combination of Wiener filter and blind source separation [PDF]

, 2011
Automatic speech recognition (ASR) often fails in acoustically noisy environments. Aimed to improve speech recognition scores of an ASR in a real-life like acoustical environment, a speech pre-processing system is proposed in this paper, which consists ...
Bleeck, S., Wang, S., Hu, H., Azarpour, M., Taghia, Jalil,, Sang, J., Lutman, M. E., Mohammadiha, Nasser,, Dokku, R., Rajyalakshmi Dokku, Nasser Mohammadiha, Hongmei Hu, Stefan Bleeck, Mark E. Lutman, Shouyan Wang, Jalal Taghia, Masoumeh Azarpour, Jalil Taghia, Jinqiu Sang, Hu, Hongmei, Azapour, M., Lutman, M.E., Tagia, J., Mohammadia, N., Sang, Jinqiu   +24 more
core   +1 more source

Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings:Application to Alzheimer's disease [PDF]

, 2009
This work studied whether a blind source separation (BSS) and component selection procedure could increase the differences between Alzheimer's disease (AD) patients and control subjects' spectral and nonlinear features of magnetoencephalogram (MEG ...
Abasolo, Daniel, Hornero, Roberto, Escudero, Javier; id_orcid, Fernandez, Alberto, Hornero, R, Fernández, A, Escudero, J, Abásolo, D   +7 more
core   +1 more source

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

Probabilistic Modeling Paradigms for Audio Source Separation [PDF]

, 2010
This is the author's final version of the article, first published as E. Vincent, M. G. Jafari, S. A. Abdallah, M. D. Plumbley, M. E. Davies. Probabilistic Modeling Paradigms for Audio Source Separation. In W.
Davies, ME, Maria G. Jafari, Plumbley, MD, Samer A. Abdallah, Emmanuel Vincent, Mark D. Plumbley, Vincent, Emmanuel, Mike E. Davies, Plumbley, Mark, D., Vincent, E, Jafari, MG, Davies, Mike, E., Jafari, Maria, G., Abdallah, Samer, A., Abdallah, SA, Plumbley, Mark,, Davies, Mike,, Jafari, Maria,, Abdallah, Samer,   +18 more
core   +1 more source