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Missing sensor data is a common problem which severely influences the overall performance of today's dataintensive applications. In order to address this important issue, a resilient Extended Kalman Filter is proposed for discrete-time nonlinear stochastic system and measurement equations with sensor failures and random gain perturbations. The failure mechanisms of multiple sensors are assumed to...
For the dynamics system of multiple launch rocket s, measuring error of ballistic parameters will appear under the influence of noise disturbance signals. The method of filtrating and estimating the ballistic parameters in the flight of multiple launch rocket is putted forward based on the theory of Kalman filter in this paper. And a filtrating example is also demonstrated in order to get more precise...
Blind image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. In this paper, we present a no-reference blur metric for images and video using information contained in the image itself. We look at the sharpness of the sharpest edges in the blurred image, which contains information about the blurring, and is not on the image contents. The experimental...
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