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- 阵元失效会破坏拖曳线列阵的幅相分布，导致阵列的旁瓣级出现明显升高，严重影响了阵列的性能。阵元失效条件下 的波束形成是一个非线性的最小平方的优化问题，对其直接求解非常困难。针对这一情况，提出了一种基于遗传算法的阵元 失效校准方法。算法的基本思想是将失效阵元的权重强制为零，并使得阵列的实际响应与期望响应在主瓣区域相匹配，同时 对阵列响应的旁瓣级作出限制-Failed elements will des仃oy the amplitude and phase distribution and
RLS-WEIGHTED-LASSO
- 介绍了LASSO算法，他是是一种很好的稀疏信号参数估计方法。-The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of inter- est emerging in various applications, where observations adhere to parsimonious
96-256
- Document tells us about stable and efficient Weighted Least Squares algorithm which is used widely in optimization and estimation tasks.
Improved-Weighted-Least-Squares-Algorithm-for-the
- Improved Weighted Least Squares Algorithm for the Design of Quadrature Mirror Filters
Study-of-Hydraulic-Model-Calibration
- 本文以管网阻力系数校核、节点流量实时校核与漏损定位为主要研究内容，提出了基于经验信息的加权最小二乘管网阻力系数校核法。-In this paper, the pipe network drag coefficient checking, checking and real-time traffic node leakage positioned as the main research content is proposed based on the weighted least squares
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- 包括最小二乘法、SVM、神经网络、1_k近邻法,采用加权网络中节点强度和权重都是幂率分布的模型，ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using weighted model nodes in the network strength and weight are power law distribu