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The Kalman filter30 is a minimum-variance filter in
which time-series measurements are incorporated recursively
into estimates of state variables it is the
optimal, Bayesian least-squares estimator for linear
dynamic systems.-dd
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卡尔曼于1960年提出了离散系统线性滤波的递推求解方法即卡尔曼滤波算法。该滤波算法是基于线性最小平方法的、进行有效递推计算的一组数学方程式,算法功能强大,支持对过去、现在和将来状态的估算。-Kalman in 1960 proposed a linear discrete-time systems to solve recursive filtering methods for the Kalman filter. The filtering algorithm is based on the
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卡尔曼于1960年提出了离散系统线性滤波的递推求解方法即卡尔曼滤波算法。该滤波算法是基于线性最小平方法的、进行有效递推计算的一组数学方程式,算法功能强大,支持对过去、现在和将来状态的估算。-Kalman in 1960 proposed a linear discrete-time systems to solve recursive filtering methods for the Kalman filter. The filtering algorithm is based on the
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ceres-solver-1.4.0，A non-linear generalization of Ruhe & Wedin’s Algorithm II. This allows the user to use variable
projection on separable and non-separable non-linear least squares problems. With multithreading,
this results in significant impr
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This paper considers issues related to multiple structural changes, occurring at unknown dates, in the linear regression model estimated by least squares.
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可以进行空间曲面的拟合 用于曲面拟合的代码：圆 球 直线 平面拟合都有-Surface fitting code: round ball linear plane fitting
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dna分类 2000数学建模a题 线性回归 最小二乘法 函数定义-dna Category 2000 issue of mathematical modeling a least squares linear regression function definition
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matlab 最小二乘法线性分类器设计功能及其应用。-matlab least squares linear classifier design
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多项式拟合,对一组带噪原始数据，采用“普通”的多项式函数进行拟合.-Linear fitting and least squares
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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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现有的贪婪迭代类压缩感知重构算法均基于最小二乘对信号进行波形估计，未考虑到可能将量测噪声引入信号估计的情况．针对以上不足，提出了一种基于线性Kalman滤波的压缩感知弱匹配去噪重构算法-Existing greedy iterative reconstruction algorithms class compressed sensing the signal waveform based on least squares estimation does not take into account
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蓄电池核电状态的评估，与MATLAB仿真-This article the lithium ion power battery current- voltage response , through the experiment analyzes the FreedomCar battery model existing shortcomings, puts forward improvement on its, and prove the feasibility of the improv
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A new non-linear least squares (NLS) DRSS
location estimator that uses correlated shadowing information to improve performance is
introduced. The existing maximum likelihood (ML) estimator and Cram′er Rao lower bound
(CRLB) for RSS-based locali
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是国外的成品模型，利用最小二乘法进行拟合多元非线性方程，直线阵采用切比学夫加权控制主旁瓣比。- Foreign model is finished, Multivariate least squares fitting method of nonlinear equations, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
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由于测量矩阵和方位噪声之间的相关性，我们已知的发射极定位的线性最小二乘算法，如伪线性估计器，具有较大的估计偏差。本文提出了一种新的基于闭型的发射器定位算法，该算法克服了这种偏倚，利用了比定位估计的辅助变量。通过计算机模拟，新算法的性能优于伪线性估计器，同时具有与计算成本更高的极大似然发射器相同的性能。(Because of the correlation between the measurement matrix and azimuth noise, we have known that th
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曲线拟合是图像分析中非常重要的描述符号。最常用的曲线拟合方法是最小二乘法,然而一般的最小二乘法有一定的局限性,已经有不少学者对其进行了一些改进。进一步对最小二乘法进行改进,提出一种新的分段直线拟合算法来代替多项式曲线拟合,以达到简化数学模型的建立和减少计算的目的,使其能够更好地对点序列进行拟合。(Curve fitting is a very important descr iptor in image analysis,the most commonly used curve fitting
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文档详细描述了几种用于解决非线性最小二乘问题的方法，包含详细的数学推导及描述。
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