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自适应滤波，对输入信号进行选择性的加权处理，使输出达到最优化，并且能够跟踪和适应系统和环境的动态变化-Least mean square，of the input signal processing, selective weighted output, and optimize can track and adapt to the dynamic changes of the system and environment
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fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution.
given the samples of the histogram of the samples, finds the
distribution parameter that fits the histogram samples.
fits data to the probability of the form:
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matlab fir LPF least square error with zeroa weighted
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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
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VB源代码下载，VB生成Grid等值线程序，源码内包括有多个等值线测试数据，并包含多种网格化方法：三角平面插值法、双二次三角曲面光滑插值、双三次三角曲面光滑插值、按距离平方反比加权插件、按方位取点加权插值、趋势面拟合、加权最小二乘曲面拟合等。如果载入的测试数据已经是网格化数据，则程序会给出判断并提示无需网格化-VB source code download, VB Grid contour generation process, the source includes a plurality o
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加权递推最小二乘算法matlab仿真程序，用于系统辨识-Weighted recursive least square algorithm matlab simulation program, used for system identification
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It is one of the successful prediction algorithms to estimate frequently for unknown parameters with real time operation. The principle of Recursive Least Square depends on least square mathematical weighted. Also, Recursive Least Square can set the
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分数延迟FIR滤波器的实现，分别使用了最小二乘法，拉格朗日插值法以及优化加权最小二乘法。-Fractional delay FIR filter implementation, using the least square method, the Lagrange interpolation method and optimization of weighted least squares.
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The Recursive least squares (RLS) is an adaptive filter which recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This is in contrast to other algorithms such as the least mean
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RLS 递归最小二乘滤波器算法！！！！！！！！！！！！！！！！！！！！！(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimize a weighted linear least squares cost function relating to the input signals. This approach is in
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递归最小二乘(RLS)是一种自适应滤波算法，它可以递归地找到最小化加权线性最小二乘代价函数与输入信号相关的系数。这种方法与其他算法相比较，例如最小均方(LMS)，旨在减少均方误差。在RLS的推导中，输入信号被认为是确定性的，而对于LMS和类似的算法，它们被认为是随机的。(Recursive least squares (RLS) is an adaptive filter algorithm that recursively finds the coefficients that minimiz
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对最小二乘的参数进行重新加权，实现迁移学习并预测(Least-square importance weighted, transfer learning and prediction)
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基于加权最小二乘算法和快速分解法的电力系统状态估计程序(Power system state estimation program based on weighted least square algorithm and fast decomposition method)
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