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用递推的极大似然法对系统辨识(递推的极大似然法辨识程序)希望通过站长审核-recursive use of the maximum likelihood method of system identification (recursive maximum likelihood method identification procedures) through head of audit
Update : 2025-02-19 Size : 1kb Publisher :

DVB-T(2K模式)同步,仿真最大似然相关(MLE)算法,在符号开始位置出现谱峰-DVB-T (2K mode) synchronization, simulation Maximum Likelihood correlation (MLE) algorithm. Symbol began in the peaks of position
Update : 2025-02-19 Size : 1kb Publisher : 陈栩秋

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This program is about ML detection.
Update : 2025-02-19 Size : 7kb Publisher : Expert

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Wireless sensor networks RSSI evaluation
Update : 2025-02-19 Size : 990kb Publisher : Pablo777

source code for MLE estimation .m file
Update : 2025-02-19 Size : 2kb Publisher : jarek

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maximum likelihood estimation
Update : 2025-02-19 Size : 9kb Publisher : houl

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经典的无线传感网定位算法,MDS-MAP及其改进算法,附有详细说明-location algorithm in wireless network,mds-map,an improve edition
Update : 2025-02-19 Size : 26kb Publisher : 盟我

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主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation
Update : 2025-02-19 Size : 40kb Publisher : he

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matlab code fitting weibull distributions MLE
Update : 2025-02-19 Size : 1kb Publisher : intiw

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matlab code log MLE fitting
Update : 2025-02-19 Size : 1kb Publisher : intiw

matlab code min-max MLE
Update : 2025-02-19 Size : 1kb Publisher : intiw

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matlab code log MLE extreme values
Update : 2025-02-19 Size : 1kb Publisher : intiw

强壮的人脸识别系统,发表于cvpr2011年,程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as a sparse linear combination of the training samples, and the representation fi delity is measured by the � 2-norm or � 1-norm of coding residual. Such a sparse coding model actually assumes that the coding residual follows Gaus- sian or Laplacian distribution, which may not be accurate enough to describe the coding errors in practice. In this paper, we propose a new scheme, namely the robust sparse coding (RSC), by modeling the sparse coding as a sparsity- constrained robust regression problem. The RSC seeks for the MLE (maximum likelihood estimation) solution of the sparse coding problem, and it is much more robust to out- liers (e.g., occlusions, corruptions, etc.) than SRC. An effi cient iteratively reweighted sparse coding algorithm is proposed to solve the RSC model. Extensive
Update : 2025-02-19 Size : 1.16mb Publisher : 刘大明

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最大似然估计MLE的matlab源码,统计学中常用的参数估计算法。-MLE maximum likelihood estimation matlab source code, commonly used in statistical parameter estimation algorithm
Update : 2025-02-19 Size : 7kb Publisher : Peter

Closed Form MLE Matlab
Update : 2025-02-19 Size : 240kb Publisher : upgrayedd

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统计信号处理工程中广义最大似然比检验的MATLAB仿真-Statistical signal processing engineering generalized likelihood ratio test MATLAB simulation
Update : 2025-02-19 Size : 3kb Publisher :

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给定数据和相应的概率密度函数、用matlab求解其相应的极大似然估计-Given data and the corresponding probability density function using matlab to solve the corresponding maximum likelihood estimation
Update : 2025-02-19 Size : 4kb Publisher : 野世强

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极大似然估计是一种很有用的办法,可以用MATLAB来实现,事实上,极大似然与最小二乘估计结果是相同的-MLE is a very useful way, you can use MATLAB to achieve, in fact, maximum likelihood and least squares estimation results are the same
Update : 2025-02-19 Size : 9kb Publisher : whitephone

利用极大似然估计估计出copula函数参数后,求解常见的copula函数的对数似然值。(After estimating the parameters of the copula function by using the MLE, the log likelihood values of the common Copula Functions are solved.)
Update : 2025-02-19 Size : 11kb Publisher : 阿亮学长

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用matlab实现基于正态分布的极大似然估计(Realization of maximum likelihood estimation based on normal distribution)
Update : 2025-02-19 Size : 1kb Publisher : 爱学习的葡萄
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