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递归最小二乘算法 RLS algorithm英语短句 例句大全

时间:2023-06-20 14:11:04

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递归最小二乘算法 RLS algorithm英语短句 例句大全

递归最小二乘算法,RLS algorithm

1)RLS algorithm递归最小二乘算法

2)Recursive Least Squares Constant Modulus Algorithm(RLSCMA)递归最小二乘恒模算法

3)ROLSA递归正交最小二乘算法

1.The recursive orthogonal least square algorithm (ROLSA) is used to optimally select the hidden centers vectors of the radial basis probabilistic neural networks (RBPNN).使用递归正交最小二乘算法(ROLSA)优选径向基概率神经网络(RBPNN)的隐中心矢量,微遗传算法(μGA)用于求解RBPNN最优核函数控制参数,并同ROLSA相结合(ROLS-μGA)来优化RBPNN的全结构(优选最优控制参数及隐中心矢量)。

4)Kernel recursive least square algorithm核递归最小二乘算法

5)recursive least squares algorithm (RLS)递归最小二乘算法(RLS)

6)RLS递归最小二乘法

1.In this paper,a novel channel tracking algorithm based on Recursive Least Squares(RLS-IC) is proposed for Multi-input multi-output(MIMO) wireless communication systems under frequency flat fading with time variation environment.该文提出了时变平坦衰落信道环境下多输入多输出(M IMO)通信系统中一种新的基于递归最小二乘法(RLS)的带干扰对消的信道跟踪方法(RLS-IC)。

2.A new algorithmRLS will be u-tilized in order to study and improve the performance of the DPSK demodulation method.采用常用的递归最小二乘法(RLS)自适应算法,研究了自适应解调方法对DPSK信号的解调及其性能。

英文短句/例句

1.The Research of Base on Recursion Least Squares Voltage Flicker;基于递归最小二乘法的电压闪变研究

2.RLS for Blind Source Separation Using Complexity Pursuit基于复杂度追踪的递归最小二乘盲源分离算法

3.Data Analysis Based on Hierarchical Partial Least-squares Regression;基于递阶偏最小二乘回归的数据分析

4.Adaptive Equalization Scheme for OFDM System Based on Recursive Least-square Method一种基于递归最小二乘的OFDM系统自适应均衡算法

5.Technique Analysis on Recursion Weighted Lest Square Algorithm Used in Direction-Finding Location in Multi-Stations多站测向定位中递归加权最小二乘法的技术分析

6.Recursive Least Squares Policy Iteration Based on Geodesic Gaussian Basis Function基于测地高斯基函数的递归最小二乘策略迭代

7.RECURSIVE FAST ALGORITHM FOR LEAST SQUARES ESTIMATION WITH HOUSEHOLDER TRANSFORMATION最小二乘估计的HOUSEHOLDER变换快速递推算法

8.Dynamic system modeling based on recurrent least squares support vector machines基于递归最小二乘支持向量机的动态系统建模研究

9.Application of Hierarchical Partial Least Squares Regression to Development Cost Prediction of Aircraft递阶偏最小二乘回归在飞机研制费用预测中的应用

10.RLS Algorithm on Array Antenna with Failure Cells;阵列天线单元失效的递推最小二乘算法应用

11.Application of Recursive Least Square Method to Angular Error Checking递推最小二乘法在角位置误差检定中的应用

12.Recursive Partial Least-squares Modeling of Aromatics and Olefins in Gasoline递推偏最小二乘法的油品芳烃烯烃成分建模

13.Improved block-wise recursive partial least square modeling method and its application改进块式递推偏最小二乘建模方法及应用

14.Recursive extended least squares identification method based on auxiliary models基于辅助模型的递推增广最小二乘辨识方法

15.least squares collocation最小二乘配置法,最小二乘拟合推估法

16.Simulating Pricing for American Put Options Based on Partial Least Square Method基于偏最小二乘回归的美式期权仿真定价方法

17.Partial Least Squares Regression and Its Applications;偏最小二乘回归的扩展及其实用算法构建

18.Forecasting for Monthly Electricity Consumption Using Partial Least-square Regressive and Proportion Model;基于偏最小二乘回归与比重法的月售电量预测

相关短句/例句

Recursive Least Squares Constant Modulus Algorithm(RLSCMA)递归最小二乘恒模算法

3)ROLSA递归正交最小二乘算法

1.The recursive orthogonal least square algorithm (ROLSA) is used to optimally select the hidden centers vectors of the radial basis probabilistic neural networks (RBPNN).使用递归正交最小二乘算法(ROLSA)优选径向基概率神经网络(RBPNN)的隐中心矢量,微遗传算法(μGA)用于求解RBPNN最优核函数控制参数,并同ROLSA相结合(ROLS-μGA)来优化RBPNN的全结构(优选最优控制参数及隐中心矢量)。

4)Kernel recursive least square algorithm核递归最小二乘算法

5)recursive least squares algorithm (RLS)递归最小二乘算法(RLS)

6)RLS递归最小二乘法

1.In this paper,a novel channel tracking algorithm based on Recursive Least Squares(RLS-IC) is proposed for Multi-input multi-output(MIMO) wireless communication systems under frequency flat fading with time variation environment.该文提出了时变平坦衰落信道环境下多输入多输出(M IMO)通信系统中一种新的基于递归最小二乘法(RLS)的带干扰对消的信道跟踪方法(RLS-IC)。

2.A new algorithmRLS will be u-tilized in order to study and improve the performance of the DPSK demodulation method.采用常用的递归最小二乘法(RLS)自适应算法,研究了自适应解调方法对DPSK信号的解调及其性能。

延伸阅读

非线性最小二乘拟合分子式:CAS号:性质:用最小二乘法拟合非线性方程。有些变量之间的非线性模型,通过变量变换可以化为线性模型,此称为外在线性。而有些变量之间的非线性模型,通过变量变换不能化为线性模型,通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε,其残差平方和。S(θ)是θ的函数,当模型关于θ是非线性的,正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值,拟合非线性回归方程。

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