Results 201 to 210 of about 28,063 (251)

Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics

Advanced Science, EarlyView.
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma, Ting‐Ting Gao, Wei Cui, Attilio Frangi, Gang Yan, Lin Zhao   +5 more
wiley   +1 more source

miR‐135a‐5p Is a Promising Target to Prevent the Glomerulosclerosis Associated with Podocyte Developmental Toxicity in Offspring Induced by Prenatal Dexamethasone Exposure

Advanced Science, EarlyView.
Prenatal dexamethasone exposure (PDE) programs persistent podocyte developmental injury and adult glomerulosclerosis. Mechanistically, glucocorticoid receptor (GR) binds the miR‐135a‐5p promoter and recruits the histone acetyltransferase p300, increasing promoter histone acetylation and sustaining miR‐135a‐5p expression. Elevated miR‐135a‐5p suppresses
Xiaoqi Zhao, Haiyun Chen, Yanan Zhu, Zhiping Xia, Hangyuan He, Yutang Liu, Tianshu Yang, Hui Wang, Ying Ao   +8 more
wiley   +1 more source

Multimodal Layer‐Crossing Interrogation of Brain Circuits Enabled by Microfluidic Axialtrodes

Advanced Science, EarlyView.
The study introduces a flexible microfluidic axialtrode that integrates optical, electrical, and chemical modalities within a single polymer fiber. By redistributing electrodes and fluidic channels along the fiber axis via angled cleaving, it enables simultaneous optogenetic stimulation, electrophysiological recording, and drug delivery across brain ...
Kunyang Sui, Neela K. Codadu, Daman Rathore, Guanghui Li, Marcello Meneghetti, Anders L. Bøcker, Rune W. Berg, Rob C. Wykes, Christos Markos   +8 more
wiley   +1 more source

Blind separation of discrete sources

, 1998
openaire   +1 more source

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Blind source separation

The Journal of the Acoustical Society of America, 1999
In signal processing the received data can be modeled as a superposition of a finite number of elementary source signals and an additive noise. Generally, in a multi-sensor environment application, such as underwater acoustics, the principal objective is estimating the number and directions of radiating sources. In the last decade, eigenstructure-based
Miloud Frikel, Victor Barroso, Joao Xavier   +2 more
openaire   +2 more sources

Blind Source Separation

Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017
Convolutive blind source separation (BSS) refers the scenario that sources are recorded by multiple sensors in a reverberant environment, which can be depicted as a convolutive mixing model. A big task in convolutive BSS is to identify the number of the source before the sources are separated from mixtures. In this paper, it shows that this problem can
Junjie Yang, Zuyuan Yang, Yi Guo, Shengli Xie   +3 more
openaire   +1 more source

Blind Source Separation of Graph Signals

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
With a change of signal notion to graph signal, new means of performing blind source separation (BSS) appear. Particularly, existing independent component analysis (ICA) methods exploit the non-Gaussianity of the signals or other types of prior information.
Vorobyov, Sergiy A., Ollila, Esa, Miettinen, Jari   +3 more
openaire   +1 more source

Compressive blind source separation

2010 IEEE International Conference on Image Processing, 2010
The central goal of compressive sensing is to reconstruct a signal that is sparse or compressible in some basis using very few measurements. However reconstruction is often not the ultimate goal and it is of considerable interest to be able to deduce attributes of the signal from the measurements without explicitly reconstructing the full signal.
Yiyue Wu, Yuejie Chi, Robert Calderbank
openaire   +1 more source

Complex Blind Source Separation

Circuits, Systems, and Signal Processing, 2017
Blind source separation (BSS) techniques aim at recovering the original source signals from observed mixtures without a priori information. The bivariate empirical mode decomposition (BEMD) algorithm combined with complex independent component analysis by entropy bound minimization (ICA-EBM) technique is proposed as an alternative to separate ...
Mina Kemiha, Abdellah Kacha
openaire   +1 more source

UXO Discrimination Using Blind Source Separation

Symposium on the Application of Geophysics to Engineering and Environmental Problems 2005, 2005
Statistical signal processing techniques have shown progress in discriminating UXO from clutter when the objects occur in isolation. Under this condition, only a single object contributes to the sensor measurement. For multiple closely-spaced subsurface objects, however, the unprocessed sensor measurement is a mixture of the responses from several ...
Yingyi Tan, Stacy L. Tantum, Leslie M. Collins   +2 more
openaire   +1 more source