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Neural-machine interface (NMI) decoding errors challenge the clinical value of neural control of powered artificial legs, because these errors can dangerously disturb the user's walking balance, cause stumbles or falls, and thus threaten the user's confidence and safety in prosthesis use. Although extensive research efforts have been made to minimize the NMI decoding error rate, none of the current...
In recent years, iterative receiver has been widely considered since it is able to achieve high data rates and reliable communications for coded MIMO-OFDM systems. However, such a receiver is extremely challenging in practical implementation. In this paper, we present an efficient fixed-point arithmetic of iterative receiver based on low-complexity K-Best decoder in order to reduce the hardware costs...
In this paper, we propose a novel texture descriptor, Structured Texton, to extract and characterize meaningful texture patterns in images. Structured Textons are constructed by grouping local extremum regions connected by the nesting relationship. To further improve the discriminative ability, high order texton words are generated from the Structured Textons, preserving both the appearance information...
Although the scale of isotropic visual elements such as blobs and interest points, e.g. SIFT[12], has been well studied and adopted in various applications, how to determine the scale of anisotropic elements such as edges is still an open problem. In this paper, we study the scale of edges, and try to answer two questions: 1) what is the scale of edges, and 2) how to calculate it. From the points...
Pedestrian detection is a very difficulty in Intelligence Traffic System (ITS). For more rapid detecting pedestrian, given that Adaboost algorithm has features of simpleness, reliability and high learning accuracy, and this paper proposed a real-time detection approach based on Adaboost. Firstly, adopt section-distribute model to detect the region with pedestrian in the frame of the video, then analyze...
The PANDA detector is a state-of-the-art general-purpose detector for physics with high luminosity cooled antiproton beams, planed to operate at the FAIR facility in Darmstadt, Germany. The central detector includes a silicon Micro Vertex Detector (MVD) and a Straw Tube Tracker (STT) or Time Projection Chamber (TPC). The electromagnetic lead tungstate calorimeter(EMC) provides almost 4π spatial coverage,...
This paper presents an uncooled microcantilever infrared (IR) detector, of which the focal plane array (FPA) is fabricated based on bulk silicon technique. Compared with conventional cantilever IR detector fabricated with surface micromachining method, the IR absorption efficiency can be improved by 48% due to the selective removal of the substrate silicon with deep reactive ion etching (DRIE) technique...
Based on the ATCA computation architecture and compute nodes (CN), investigation and implementation work has been being executed for HADES and PANDA trigger algorithms. We present our designs for HADES track reconstruction processing, Cherenkov ring recognition, time-of-flight processing, electromagnetic shower recognition, and the PANDA straw tube tracking algorithm. They will appear as co-processors...
In particle physics experiments, the momenta of charged particles are studied by observing their deflection in a magnetic field. Dedicated detectors measure the particle tracks and complex algorithms are required for track recognition and reconstruction. This CPU-intensive task is usually implemented as off-line software running on PC clusters. In this paper, we present a system-on-chip design for...
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