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We propose to fuse two currently separate research lines on novel therapies for stroke rehabilitation: brain-computer interface (BCI) training and transcranial electrical stimulation (TES). Specifically, we show that BCI technology can be used to learn personalized decoding models that relate the global configuration of brain rhythms in individual subjects (as measured by EEG) to their motor performance...
We investigate both experimentally and numerically the transformation of spatial coherence function (SCF) during reflection from a scattering medium. We demonstrate that the information about SCF of the incident field survives scattering at grazing angles of incidence and for angularly detuned observation direction.
Characterization of coherence tuning range for 2×1 photonic crystal VCSEL arrays under pulsed excitation is reported. Far field data show the coherence range is larger under pulsed conditions compared to cw operation due to reduction of resistive diode heating.
We demonstrate an optimized two-step procedure for measuring the full complex coherence function. The measurement relies on a wavefront shearing interferometer that permits characterizing nonstationary fields over an extended angular domain. The accuracy of the coherence measurement was demonstrated by excellent agreement with theoretical predictions.
Headphone reproduction of recorded spatial sound scenes is becoming increasingly relevant to immersive audiovisual applications. Popular non-parametric reproduction methods, such as firstorder ambisonics (FOA), can now be surpassed through the use of perceptually-motivated parametric reproduction methods. One such established method is Directional Audio Coding (DirAC). The earlier version of DirAC...
Synthetic Aperture Radar (SAR) images are widely used in various applications, such as Digital Elevation Model (DEM), ground deformations monitoring and ground change detection. The coherence is commonly estimated through an interferometric SAR image pair to detect man-made fine scale changes. The sample coherence estimator is biased, especially for low-coherence values, which complicates change map...
Traditionally GPUs focused on streaming, data-parallel applications, with little data reuse or sharing and coarse-grained synchronization. However, the rise of general-purpose GPU (GPGPU) computing has made GPUs desirable for applications with more general sharing patterns and fine-grained synchronization, especially for recent GPUs that have a unified address space and coherent caches. Prior work...
Training a feed-forward network for the fast neural style transfer of images has proven successful, but the naive extension of processing videos frame by frame is prone to producing flickering results. We propose the first end-toend network for online video style transfer, which generates temporally coherent stylized video sequences in near realtime. Two key ideas include an efficient network by incorporating...
The potential of full-duplex in communication design has been recently considered for emerging technologies such as 5G. Moreover, full-duplex can play a crucial role in upcoming secure communication scenarios too. However, results in the literature are limited and only explore scenarios, where the wireless channel is used either for key generation or for secure messaging. Our first contribution is...
A natural image usually conveys rich semantic content and can be viewed from different angles. Existing image description methods are largely restricted by small sets of biased visual paragraph annotations, and fail to cover rich underlying semantics. In this paper, we investigate a semi-supervised paragraph generative framework that is able to synthesize diverse and semantically coherent paragraph...
Network analysis of signals originating from different parts of brain during motor imagery (MI) has gained lots of interest recently. In this paper, we used EEG to construct the brain network during MI, and analyzed the topological characteristics of the EEG function network. It is found that the node degree and clustering coefficient of the right hand MI is higher than the left hand MI on the nodes...
We present a general approach to video understanding, inspired by semantic transfer techniques that have been successfully used for 2D image analysis. Our method considers a video to be a 1D sequence of clips, each one associated with its own semantics. The nature of these semantics – natural language captions or other labels – depends on the task at hand. A test video is processed by forming correspondences...
The implementation of any project requires not only the development of project documents: the criteria for the project success, WBS-structure, the Matrix of Responsibilities, the budget, the Gantt diagram, etc., but also an unambiguous understanding of all these documents by all participants in the project process: stakeholders, project manager and movable context. As practice shows, this unambiguous...
The problems of creating complex IT on the example of distributed information systems are considered. Also there was reviewed the structure of processes for elements interaction while creating such systems. Proposed an model of change impact on project elements in complex projects management and was suggested an approach to configuration management of such projects, that makes it possible to build...
An algorithm designed for stabilization and control of large groups of micro aerial vehicles (MAVs) — multirotor helicopters — without any explicit communication is proposed in this paper. The presented algorithm enables a swarm of MAVs to maintain its coherence and perform a compact motion in complex environments while avoiding obstacles with only very limited computational and sensory requirements...
The Delay-Multiply-And-Sum (DMAS) beamformer has recently been presented in the context of medical ultrasound image formation. Images obtained with the DMAS beamformer present improved contrast resolution and noise rejection when compared to images obtained with the standard Delay-And-Sum (DAS) beamformer. We study here the signal statistics for a homogeneous medium using both the DAS and DMAS beamformers...
Plane-wave imaging plays a highly significant role o wing to the special demand for high frame rate, however, its po or image quality hinders its application in ultrasound industrie s. Many scholars have attempted to give a wide variety of soluti ons to improve the image quality, however, each of them has li mitations or compromises. In this study, we improve the spatio -temporally smoothed factor...
Recently, ultrafast Doppler techniques have been proposed for imaging brain and other slow flow targets. These techniques rely on synthetic focusing and the use of large ensemble lengths to separate slow-flow signal from the stationary clutter, but are susceptible to high acoustic and thermal noise. We have recently developed the short-lag angular coherence (SLAC) method, which suppresses the incoherent...
This paper characterises vibration signals using modulation signal bispectrum method in order to develop an effective and reliable feature sets for detecting and diagnosing faults from both the bearings and impellers in a centrifugal pump. As vibration signals contain high level background noises due to inevitable flow cavitation and turbulences, effective noise reduction and reliable feature extraction...
Currently there are two main categories of adaptive beamforming applied to medical ultrasound imaging: minimum-variance-related beamforming(MV) and coherence-factor-related beamforming (CF), both of which have been applied to suppress side/granting lobe and clutter for plane-wave imaging. Unfortunately, due to low SNR/SINR, the resulting images may suffer from deficiencies: deteriorated speckle pattern,...
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