搜索资源列表
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利用奇异值分解-总体最小二乘法估计ARMA模型的AR参数,并利用参数进行谐波恢复仿真程序,The use of singular value decomposition- total least squares estimation of AR parameters of ARMA model and using the parameters of harmonic retrieval simulation program
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本程序比较了LS(最小二乘)和最小均方误差准侧下OFDM信道估计的误码率,给出了LS及MESE实现的源程序,是信道估计初学者的理想参考资料-This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MES
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分别用最小二乘法和svd-tls法对arma过程进行功率谱估计并比较结果。包含实验目的,步骤,程序,结果,分析。-Least square method, respectively, and svd-tls on arma-power spectrum estimation process and the results of the comparison. Contains experimental purposes, steps, procedures, results, analysis.
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ARMA谱估计-AR参数估计的总体最小二乘法-ARMA spectral estimation-AR parameter estimation of the overall least square method
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使用自编函数基于奇异值分解总体最小二乘法(svd-tls)实现AR模型谱估计
-The use of self-functions in general based on singular value decomposition least square method (svd-tls) to achieve AR model spectrum estimation
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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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非线性最小二乘法Matlab实现
f=x(1)*K^x(2)*L^x(3)-b
Cobb-Douglas生产函数-Matlab nonlinear least square method to achieve f = x (1)* K ^ x (2)* L ^ x (3)-b Cobb-Douglas production function
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this code for least square collocation estimation
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fit_rayleigh_pdf - Non Linear Least Squares fit of the Rayleigh 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: p(r)=r*exp(-
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A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state i
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LS (Least Square) & LMMSE (Minimum Mean Square Error)
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The recursive least-square estimation
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最小二乘估计算法论文和matlab仿真源程序
-The least square estimation algorithm papers
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this file is a Recursive least square algoritm in matlab
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系统辨识与自适应控制递推最小二乘估计(RLS)及模型阶次辨识(F-Test)-System identification and adaptive recursive least square estimation (RLS) and model order identification (F-Test) for system identification and adaptive control
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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
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Matlab code for the least square error channel estimation and Minimum Mean Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.-Matlab code for the least square error channel estimation and Minimum Mean Squa
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对于单输入单输出的系统(Single input single output,SISO)常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法,概念简明,适应范围广,来源于数理统计的回归分析,它能提供一个在最小方差意义上与实验数据最好拟合的模型,在一些情况下,可得到与极大似然法一样好的统计效果,并能很方便地与其它辨识算法建立关系。在一定条件下,最小二乘法参数估计法有最佳的统计特性,即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数,
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Matlab code for least square estimation
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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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