COMPUTATIONALLY EFFICIENT DIRECTION-OF-ARRIVAL ESTIMATION OF NON-CIRCULAR SIGNAL BASED ON SUBSPACE ROTATION TECHNIQUE

Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique

In order to solve the problem that the high computational burden of the multiple signal classification algorithm of non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation,a novel computationally efficient DOA estimation algorithm based on subspace rotation technique was proposed.Firstly,the partitioning of noise subspace matrix and

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Comprehensive Assessment and Intervention: Analyzing and Mitigating Light Pollution Level in Different Regions Using the Entropy Weight Method, TOPSIS, and Fuzzy Comprehensive Evaluation Method

Light pollution is wreaking havoc on a global scale, which affects the environment, the rhythms of living things, and even our health and safety.In order to calculate the light pollution level in different regions, the entropy weight method was used to calculate the weight of light pollution evaluation indicators of eight cities of four types.Then,

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Data-driven solutions and parameter estimations of a family of higher-order KdV equations based on physics informed neural networks

Abstract Physics informed neural network (PINN) demonstrates powerful capabilities in solving forward and inverse problems of nonlinear partial differential equations (NLPDEs) through combining data-driven and physical constraints.In this paper, two PINN methods that adopt tanh and sine as activation functions, respectively, are used to study data-

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