Description: 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process Platform: |
Size: 3072 |
Author:wanghuaqiu |
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Description: 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 yield an increase in the sidelobe level．It call
seriously degrade the performance of art towed linear array．Beamforming in the presence of element failure can be seen as a
non-linear least squares fitting question and the computations ale difficult．Aimming at this problem,an optimized method of element
failure correction based on genetic algorithm is presented basic principle is to match the array response to a desired response
over the mainlobe regions and minimize the weighted mean—square value of the response over the sidelobe regions．At the same time,
weights offailed elements are forced to zero．Result ofthe simulation indicates that the method is feasible and effective． Platform: |
Size: 604160 |
Author:赵杰 |
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Description: 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. Platform: |
Size: 7168 |
Author:张鑫 |
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Description: 实现基于加权最小二乘法的电力系统状态估计算法，以于老师写的书里面四节点算例仿真-Implementation based on weighted least-square method of power system state estimation algorithm, with the teacher wrote the book four node example simulation Platform: |
Size: 2048 |
Author:张昭丞 |
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Description: 电力系统加权最小二乘法状态估计14节点或33节点都能运行-Weighted least square method for power system state estimation of 14 nodes or 33 nodes can run Platform: |
Size: 7168 |
Author:印 |
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Description: 针对基于双曲线定位的DV-Hop算法中误差项的异方差性引起的定位误差大的问题，提出了一种基于加权双曲线定位的DV-Hop改进算法。算法分析了基于双曲线定位的DV-Hop算法模型中误差项的异方差性，用加权最小二乘法对异方差性进行纠正，对加权最小二乘法中的权值矩阵进行了推导并得到与跳数相关的最佳权值矩阵，使得误差项满足同方差性，所得估计值更加接近最佳线性无偏估计。仿真实验结果表明，所提算法在节点定位精度上较现有的基于双曲线定位的DV-Hop算法都有一定提高。(Aiming at the problem that the heteroscedasticity of observation errors leads to low locating accuracy in DV-Hop algorithm based on hyperbolic positioning, this paper proposes an improved DV-Hop algorithm which based on weighted hyperbolic positioning. The algorithm analysis the heteroscedasticity of the error term in the model and takes advantage of weighted least square method which corrects heteroscedasticity straightforwardly. Then, the weight matrix related to least hops between nodes is deduced, the estimators thus obtained are more close to the best linear unbiased estimator. The simulation results show that the location performance of the improved algorithm is better than that of the exsiting DV-Hop algorithm which based on hyperbolic positioning.) Platform: |
Size: 2048 |
Author:helios~
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Description: 用的是estimation加权最小二乘法状态估计法, 主要思想：
1、建立一个生成zdatas.m的函数，函数中先调用潮流计算；
2、电压幅值结果在潮流结果的bus变量中；节点注入功率量测取PQ节点负荷值的相反数；传输功量测取branch中的传输功率值。
3、对上一步提到的量测值随机添加白噪声；
4、视算例所要分析的问题，确实是否设置坏数据，若是，则设置；
5、将添加白噪声和坏数据后的量测输出到zdatas.m文件中。(The main idea is to use the estimation weighted least square method state estimation method.
1. A function to generate zdatas.m is set up, and the power flow calculation is first called in the function.
2, the voltage amplitude results in the bus variable of the power flow result. The power number of the node is injected to measure the inverse number of the PQ node load value, and the transmission power is used to measure the transmission power value in branch.
3, white noise is randomly added to the measured values mentioned in the last step.
4. The problem to be analyzed by the visual example is whether or not the bad data is set, if it is set;
5, the amount of white noise and bad data will be added to the zdatas.m file.) Platform: |
Size: 11264 |
Author:deng_123
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Description: 进行双加权最小二乘法拟合疲劳寿命数据，得到疲劳极限以及S-N曲线(Fitting fatigue life data with double weighted least square method) Platform: |
Size: 8192 |
Author:廉佳佳 |
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Description: 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) Platform: |
Size: 17408 |
Author:追风少年124 |
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Search - weighted least square method