Description: MIMO-OFDM信道估计，用于最小二乘法和线性最小均方估计方法的性能比较-MIMO-OFDM channel estimation for the linear least squares method and the least square method estimates Performance Comparison Platform: |
Size: 2048 |
Author:周许朝 |
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Description: 这个是关于OFDM系统的信道估计的算法的两种方法，分别是OFDM的最小二乘和最小均方误差估计的仿真程序代码-the OFDM system is on the channel estimation algorithm of the two methods OFDM are the least squares and minimum mean square error estimate of simulation code Platform: |
Size: 5120 |
Author:周洁 |
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Description: 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 Platform: |
Size: 1024 |
Author:王冰 |
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Description: 使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation Platform: |
Size: 4096 |
Author:wangerzhu |
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Description: 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. Platform: |
Size: 50176 |
Author:莫新康 |
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Description: 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 2D. All other information was inlcuded as comments in source code.-This is 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 2D. All other information was inlcuded as comments in source code. Platform: |
Size: 2048 |
Author: |
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Description: 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 Platform: |
Size: 1024 |
Author:chester |
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Description: The Least Square Estimation method finds the estimation in such a way that following cost function (Error) is minimized. Most important thing why least squares are so popular is ease of computaion (less computational complexities). The method of least squares is about estimating parameters by minimizing square difference (variance) between observed data and their expected value.
Platform: |
Size: 1517568 |
Author:sagar |
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Search - least square estimation