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Description: 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
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Description: 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
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Size: 1024 |
Author: 陈栩秋 |
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Description: This program is about ML detection.
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Size: 7168 |
Author: Expert |
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Description: Wireless sensor networks RSSI evaluation
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Size: 1013760 |
Author: Pablo777 |
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Description: source code for MLE estimation .m file
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Size: 2048 |
Author: jarek |
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Description: maximum likelihood estimation
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Size: 9216 |
Author: houl |
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Description: 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
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Size: 26624 |
Author: 盟我 |
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Description: 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
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Size: 40960 |
Author: he |
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Description: matlab code fitting weibull distributions MLE
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Size: 1024 |
Author: intiw |
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Description: matlab code log MLE fitting
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Size: 1024 |
Author: intiw |
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Description: matlab code min-max MLE
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Size: 1024 |
Author: intiw |
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Description: matlab code log MLE extreme values
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Size: 1024 |
Author: intiw |
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Description: 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
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Size: 1216512 |
Author: 刘大明 |
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Description: 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
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Size: 7168 |
Author: Peter |
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Description: Closed Form MLE Matlab
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Size: 245760 |
Author: upgrayedd |
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Description: 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
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Size: 3072 |
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Description: 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
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Size: 4096 |
Author: 野世强 |
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Description: 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
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Size: 9216 |
Author: whitephone |
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Description: 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.)
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Size: 11264 |
Author: 阿亮学长
|
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Description: 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)
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Size: 1024 |
Author: 爱学习的葡萄 |
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