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In this paper, a new nonlinear loop transfer recovery control method is proposed for nonlinear systems with non-Gaussian noise. For the proposed control scheme, a dynamical feedback and an optimized cubature Kalamn filter is combined. With such method, it is shown that the deviation of the set point and the system's output could be amended by the dynamical feedback gain matrix properly, the accuracy...
The recognition precision of the existing auditory scene recognition algorithms is relatively satisfactory, but they can only be applied to several noise scenarios, and it can't meet the performance requirements of digital hearing aids in complex environment. In order to solve the above problems, scene recognition algorithm based on multi-feature and weighted minimum distance classifier is proposed...
An improved three-component model-based scattering decomposition method by implementing the new volume scattering model for the polarimetric SAR image is presented in this paper. The modified volume model which is suit for the target decomposition of PolSAR data is used in the proposed method aiming to reduce the emergence of negative powers in the Freeman decomposition. The experimental results of...
How to use the POLSAR data to classify and interpret the conditions of the earth is a very important research field of POLSAR. In this paper, we propose an improved algorithm on the basis of studying and analyzing some common algorithms. This technique introduces the fisher criterion in the feature selection and the hierarchical method in the classification of POLSAR image, which can improve Lee's...
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