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Most of the image denoising methods are based on the integer order modeling of multi-source information fusion method. Because of the lack of research on the method of fractional modeling in the previous methods, the denoising effect of the image is poor. Based on this, this project is based on fractional order modeling, combined with two-dimensional fractional Kalman filter, and denoising the image...
In this study, the problem of sequential fusion <alternatives>$\mathcal {H}_\infty $<mml:math overflow="scroll"><mml:msub><mml:mrow><mml:mi mathvariant="script">H</mml:mi></mml:mrow><mml:mi mathvariant="normal">∞</mml:mi></mml:msub></mml:math><inline-graphic xlink:href="IET-CTA.2016.1014.IM2.gif" /></alternatives>...
Aiming at the model of linear time invariant for the target tracking system, this paper develops a novel data fusion method based on measurements summation for multisensor system. It effectively uses the characteristics of statistical parameters which can be calculated out of line for linear time invariant(LTI) system Kalman filter, and the calculated form of measurements summation of Kalman filter...
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