搜索资源列表
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渐消记忆最小二乘法。系统辨识matlab源程序。-fading memory of the least square method. Matlab source system identification.
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基于最小均方算法lms算法的程序源代码程序仿真-Least mean square algorithm based on LMS algorithm source code
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LMS-MATLAB最小均方算法的Matlab源程序,模式识别中的分类器-LMS-MATLAB least-mean-square algorithm of Matlab source code, Pattern Recognition Classifier
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This a simple position location algorithm using Least Square Estimation algorithm. Timing information is time of flight (TOA) of signal between Tx and Rx. This code generally describes the Positioning method, Also it plots final coordinate of node in
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所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis pr
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拟合曲线有很多方法，本资料是用最小二乘法拟合曲线的MATLAB源代码-There are many ways fitting curve, the data are least square fitting curve with MATLAB source code
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这是一维的最小二乘法的Matlab源程序-This is a one-dimensional source Matlab least square method
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基于最小二乘法实现精确到采样点间的准确定时，性能远远高于双程测距方法实现的测距与定时。仿真表明此方法对于抗噪声和频偏具有很好的作用。这是源代码，用matlab编写，项目要求实现10ns的精度实际中我们实现了3ns以内的精度。-Based on least square method to achieve precise sampling points of accurate timing between, performance is much higher than the round tri
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最小二乘法matlab源代码，拟合函数并计算均方误差-Matlab source code of the least squares method，Fitting functionAnd calculate the mean square error
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10*10正方形区域内4个锚节点k个随机未知节点的最小二乘定位法MATLAB源码-10* 10 square area within the four anchor nodes k least squares random unknown node location in MATLAB source
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lms滤波算法的MATLAB源代码,lms为变步长最小均方自适应滤波算法-matlab source code of lms algorithm. lms is the least mean square adaptive filter algorithm
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matlab source code on orthogonal least square
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利用基于最小二乘法的多项式拟合算法处理商业数据，包含源码(Using the polynomial fitting algorithm based on the least square method to deal with commercial data, including the source code)
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研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory
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