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SLEP_4.0
压缩感知中有名的SLEP算法，用来对数据进行稀疏表达的。(SLEP in the compressed sensing algorithm is known, for the expression of the data sparse.)
- 2010-11-30 10:32:34下载
- 积分：1
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openloop(1)
永磁同步电动机的开环控制的matlab/simulink仿真。供大家学习。(Permanent magnet synchronous motor open-loop control matlab/simulink simulation. For everyone to learn.)
- 2020-12-27 19:09:02下载
- 积分：1
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gpc
单输入单输出与多输入多输出广义预测控制算法编程(single input-single output and multiple input-multiple output generalized predictive control )
- 2020-11-20 11:09:37下载
- 积分：1
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fir
一篇基于matlab设计基本的FIR滤波器的文章。一篇基于matlab设计基本的FIR滤波器的文章(Matlab-based design of a basic FIR filter article. Matlab-based design of a basic FIR filter paper)
- 2010-06-18 17:10:23下载
- 积分：1
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DistanceTransformationByMATLAB65
在MATLAB提供的距离变换函数的基础上，对二值BMP图像进行不同距离度量的距离变换，并给出变换效果。程序已经在MATLAB6.5上运行通过。(Provided in MATLAB distance transform function based on the binary BMP images of different distance measure of distance transform, and gives the effect of transformation. Procedures have been adopted in MATLAB6.5 run.)
- 2008-01-26 00:51:32下载
- 积分：1
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naive-bayesian-classifier
naive bayesian classifier in matlab
- 2011-02-09 19:50:05下载
- 积分：1
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MATLAB
matlab 只能算法 三十例，只有其中一部分(MATLAB only algorithm 30 patients, only one part of)
- 2013-01-14 16:33:14下载
- 积分：1
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MatlabCode
Matlab代码，代码难度从小到大，适合初学者进行学习MATLAB或者图形图像领域初学者(Matlab code, the code is difficult since the childhood, suitable for beginners to learn Matlab beginners or image field)
- 2015-01-15 14:24:46下载
- 积分：1
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Blackman_Harris
It is a FDTD program which produce Black-Man-Harris Source in free space.
- 2009-03-03 14:42:07下载
- 积分：1
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EMALGORITHM
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
- 2010-12-14 17:04:44下载
- 积分：1
