Results 61 to 70 of about 2,961,150 (281)

Blind Source Separation for Convolutive Mixtures with Neural Networks

Advances in Electrical and Computer Engineering, 2011
Blind source separation of convolutive mixtures is used as a preprocessing stage in many applications. The aim is to extract individual signals from their mixtures.
KIREI, B. S., TOPA, M. D., MURESAN, I., HOMANA, I., TOMA, N.   +4 more
doaj   +1 more source

Choroid Plexus Enlargement and USPIO‐Based Inflammatory Feature in Cerebral Small Vessel Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The choroid plexus (CP) is a key component of the blood–cerebrospinal fluid barrier (BCSFB), but its mechanism of action in cerebral small vessel disease (CSVD) remains unclear. This study investigated CP volume (CPV) alterations and their association with conventional imaging markers in CSVD and explored the underlying role of ...
Yongqiang Qu, Xiaoning Ren, Cuihua Fan, Chun Li, Lijie Zhang, Zaiqiang Zhang, Shaowu Li, Zhongmeng Lai, Bin Cai, Ying Fu, Yi Lin, Zhibao Zhu   +11 more
wiley   +1 more source

Noncontact Multiperson Respiratory Detection Method Based on Blind Source Separation

Leida xuebao
In recent years, there has been an increasing interest in respiratory monitoring in multiperson environments and simultaneous monitoring of the health status of multiple people.
Xuan YANG, Ziying WANG, Li ZHANG, Heng ZHAO, Hong HONG   +4 more
doaj   +1 more source

Prognostic Value of Neurofilament Light Chain and Glial Fibrillary Acidic Protein in ALD‐Related Myelopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background X‐linked adrenoleukodystrophy (X‐ALD) is a neurometabolic disorder caused by pathogenic variants in ABCD1, leading to slowly progressive spinal cord disease in nearly all affected men. Sensitive biomarkers to quantify disease severity and predict progression are needed for clinical care and trial design.
Eda G. Kabak, Marije M. C. Voermans, Hans Heijst, Charlotte E. Teunissen, Marc Engelen   +4 more
wiley   +1 more source

Towards interpretable classifiers with blind signal separation [PDF]

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Blind signal separation (BSS) is a powerful tool to open-up complex signals into component sources that are often interpretable. However, BSS methods are generally unsupervised, therefore the assignment of class membership from the elements of the mixing matrix may be sub-optimal.
Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa   +6 more
openaire   +1 more source

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer, Marie Obrecht, Charlotte de Maeseneire, Charlotte Damien, Chantal Depondt, Lorenzo Ferlini, Estelle Rikir, Filippo Annoni, Fabio Silvio Taccone, Nicolas Mavroudakis, Benjamin Legros, Nicolas Gaspard   +11 more
wiley   +1 more source

Design and performance analysis of a blind source separation algorithm for piano music signals

Discover Computing
As the modern music industry continues to advance, musical signal separation technology has become essential to piano music production, analysis, and education. However, during actual piano performances, the number of observed signals may be greater than,
Qun Wei
doaj   +1 more source

Blind I/Q Signal Separation-Based Solutions for Receiver Signal Processing

EURASIP Journal on Advances in Signal Processing, 2005
This paper introduces some novel digital signal processing (DSP)-based approaches to some of the most fundamental tasks of radio receivers, namely, channel equalization, carrier synchronization, and I/Q mismatch compensation. The leading principle is to
Koivunen Visa, Valkama Mikko, Renfors Markku   +2 more
doaj   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Exploiting Acoustic Similarity of Propagating Paths for Audio Signal Separation

EURASIP Journal on Advances in Signal Processing, 2003
Blind signal separation can easily find its position in audio applications where mutually independent sources need to be separated from their microphone mixtures while both room acoustics and sources are unknown.
Yin Bin, Sommen Piet CW, He Peiyu
doaj   +1 more source