针对合成孔径雷达(synthetic aperture radar,SAR)在稀疏成像中,传统贝叶斯机器学习算法存在先验固化、成像结果容易过拟合等问题。提出一种可变成像先验贝叶斯(varying imaging prior Bayes,VIP-Bayes)学习稀疏SAR成像算法。首先,引入可动态灵活表征目标散射特征的广义高斯分布先验。然后,在贝叶斯推理框架下进行分层建模,后验分布推导。最后,针对常规吉布斯采样算法无法采样复杂后验分布的问题,引入哈密顿蒙特卡罗(Hamiltonian Monte Carlo
In this paper,using the Bootstrap approach and generalized approach,the authors consider the one-sided hypothesis testing problems for variance component functi
针对脉冲多普勒雷达在中脉冲重复频率下同时存在距离模糊和多普勒模糊问题,提出了一种基于正交离散频率编码(discrete frequency coding,DFC)波形解二维模糊的方法。基于雷达循环发射的一组正交DFC信号,在回波脉冲压缩过程中,利用信号正交性进行距离模糊区域的分离,完成距离解模糊。通过多普勒模糊数遍历补偿以及与keystone后相参积累结果对比,确定正确的多普勒模糊数,完成多普勒解模糊。经过Keystone处理后,可以进行整个驻留时间的相参积累,提高回波在低信噪比情况下的目标检测及参数估计
The authors propose a two-step test for the two-sample problem of processes of Ornstein-Uhlenbeck type.In the first step,the authors test the equality of correl
The studying motivation of this paper is that there exist many modeling issues of nonuniformly sampling nonlinear systems in industrial systems.Based on multi-m
Input-output (Leontief) production function is widely used in economic analysis.And diminishing marginal rate of return is a very well accepted economic fact.Le
A disturbance observer (DOB) based-backstepping sliding mode control scheme is discussed for a class of semi-strict nonlinear system with unknown parameters and
Linear regression models for interval-valued data have been widely studied.Most litera-tures are to split an interval into two real numbers,i.e.,the left-and ri
The paper deals with a boundary feedback stabilization problem of a hybrid system with disturbances,which is clamped at one end and linked to a rigid body at th
Let F be an irreducible differential polynomial over k(t)with k being an algebraically closed field of characteristic zero.The authors prove that F = 0 has rati