-
dajin
利用大津算法对焊点图像进行分割，去除多余噪声(Solder joint image segmentation using Otsu algorithm to remove the excess noise)
- 2012-05-21 20:58:11下载
- 积分：1
-
GAPSO
结合遗传算法和粒子群算法的MATLAB程序M文件(M-file MATLAB program combined with genetic algorithm and particle swarm optimization)
- 2021-03-23 10:09:15下载
- 积分：1
-
duoweibianliang
多维变量的寻优算法，遗传算法解决多变量的最优化问题。(multivariable GA)
- 2010-12-06 10:30:59下载
- 积分：1
-
facepp-matlab-sdk-master
人脸识别face++matlab的sdk(face recognization face++ matlab sdk)
- 2014-11-14 16:11:38下载
- 积分：1
-
resonator
光通信中基本器件微环的基本分析，这个分析是在理想情况下分析的，没有考虑损耗(Basic analysis of the basic device in the optical communication microring, this analysis is in the ideal case the analysis, without considering loss)
- 2012-09-03 17:02:56下载
- 积分：1
-
communication
在无线信道的理论基础上，分析了Suzuki信道模型的结构原理，介绍了利用正弦波叠加法构成高斯序列，从而建立Suzuki信道数学模型的方法，并通过Matlab软件对其进行了仿真。(In the theory of radio channel based on the analysis of Suzuki channel model structure principle, describes the use of sine wave superposition method constitutes a Gaussian sequence, thereby establishing a channel model Suzuki method, and through its simulation Matlab software.)
- 2013-10-31 23:39:00下载
- 积分：1
-
MatlabExampleVer2.0
说明： Agilent 仪器与MATLAB互联，这是Agilent网站提供的参考源码(Agilent instruments and MATLAB Internet, which is Agilent site provides a reference source)
- 2008-11-26 16:58:47下载
- 积分：1
-
fadian
自己搭建的DFIG空载并网后的运行模型，以实现稳定运行(DFIG load and build their own network after running the model, in order to achieve stable operation)
- 2013-06-04 19:17:33下载
- 积分：1
-
keli_catch
颗粒提取，用于MATLAB仿真的，提取一些细小的颗粒。效果较好。(Particle extraction for the MATLAB simulation, extract some small particles. Better.)
- 2013-07-28 01:44:52下载
- 积分：1
-
T-HOMEWORK
用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)
- 2012-04-17 22:59:50下载
- 积分：1
