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Compressive sensing (CS) is a new framework for simulations sensing and compressive. How to reconstruct a sparse signal from limited measurements is the key problem in CS. For solving the reconstruction problem of a sparse signal, we proposed a self-adaptive proximal point algorithm (PPA). This algorithm can handle the sparse signal reconstruction by solving a substituted problem — ℓ1 problem. At...
A precise self-adaptive multi-peak detection algorithm is proposed in this paper, which is used to process the spectral signal of the distributed fiber Bragg grating (FBG) sensor systems. The wavelet threshold de-noising method is used to process the original spectral signal, and the Hilbert transform and the Gabor filtering method are introduced for self-adaptive segmentation of the peak region of...
This paper put forwards a new single image restoration method which is self-adaptive to the dielectric layer color. This method is used to solve the problem that existing single image visibility restoration method has limited adaptability for dielectric layer color in image acquisition environment. Thus, the method can remove influence caused by propagation medium layer from input image, realizing...
E-Health systems need to dynamically integrate a huge variety of medical sensors in order to provide a meaningful survey of a patient's condition. Devices like smart phones or gateways usually used as integrators, often underlie resource constraints and have to cope with the mobility of the patient. Therefore it is difficult to realize an overall integration middleware, that allows to handle a sufficient...
The positioning of sensors in Wireless Sensor Networks WSNs affect coverage, communication cost and resource management. The effectiveness of these networks is determined to a large extent by the coverage provided by the sensor deployment. Coverage is an important optimization objective in WSN deployments. Sensor positioning alludes to the capabilities of WSNs to ‘adapt’ and ‘respond’, in order to...
The aggressive technology scaling poses serious challenges to lifetime reliability. A parament challenge comes from a variety of aging mechanisms that can cause gradual performance degradation of circuits. Prior work shows that such progressive degradation can be reliably detected by dedicated aging sensors, which provides a good foundation for proposing a new scheme to improve lifetime reliability...
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