-
icaFacesCode
机器学习和模式识别的常用算法，独立主元分析，常用于人脸图像识别。此压缩包含有完整的用于人脸图像的算法源码(Commonly used machine learning and pattern recognition algorithms, independent component analysis, commonly used for facial image recognition, speech recognition, etc.)
- 2010-08-26 12:05:44下载
- 积分：1
-
image-fusion
在matlab开发环境中，利用小波算法开发的图像融合。(image fusion matlab)
- 2013-05-10 11:00:43下载
- 积分：1
-
DVHOP
实现DV-Hop定位算法的仿真,自动生成一定节点数的随即分布图，给出仿真结果的各点定位误差，用曲线图形显示，并可以计算平均误差。(DV-Hop simulation. Produce a randomly distributed nodes and then simulate and give the location error of each node, showing it in figure, and calculate the average error. )
- 2009-04-27 09:52:52下载
- 积分：1
-
ofdm-final-code
i am uploade matlab code for perfomance analysis of OFDM systyem using different modulation scheme.it simulatoion result is so interesting to propose the modulation scheme when OFDM system is use in application .
- 2013-11-26 21:01:43下载
- 积分：1
-
zcr
说明： matlab实现对声音信号短时能量，短时过零率的计算。(matlab voice signals to achieve short-term energy, zero-crossing rate of short-term calculations.)
- 2020-09-07 10:58:03下载
- 积分：1
-
trline3_2
使用matlab编程实现可视化界面，界面是关于微波传输线及天线方向图。(Visualized using matlab programming interface, the interface is on the microwave transmission line and antenna.)
- 2010-05-11 21:50:22下载
- 积分：1
-
Statistical-recognition-
图像处理中数字识别的相关算法，自己私藏的统计识别模板。神经网络/聚类分析。matlab实现。(AI-NN-PR
pattern recognition
matlab)
- 2013-01-29 15:07:05下载
- 积分：1
-
3
说明： 模糊数学聚类的matlab程序原代码，可用以对离散数据进行分类，综合评价。(Fuzzy clustering matlab program source code, can be used to classify the discrete data, comprehensive evaluation.)
- 2014-02-23 13:40:57下载
- 积分：1
-
gls
gsl具有强大的矩阵运算，信号分析功能，使用gsl提供的库文件能加速vc开发复杂的数学运算，摆脱对MATLAB的依赖(gsl own powerful function of matrix operations and signal analysis , use the gsl provided library files,you can speed up the development of complex mathematical operations vc, get rid of dependence on the MATLAB)
- 2010-07-25 20:26:23下载
- 积分：1
-
两种数据集对应程序代码
LLE算法基于swiss roll与s-curve数据集的运行结果，选取的样本点数为N=2000、k=12、 d=2进行的降维运算的结果,由运算结果可知在不同的数据集上LLE算法依然能够很好地保持数据在降维前后结构的特点。(The LLE algorithm is based on the running results of Swiss Roll and S-curve data sets, and the number of selected sample points is the result of dimensionality reduction of N=2000, k=12 and d=2. It is known that LLE algorithm still can maintain the characteristics of the data before and after dimensionality reduction well on different data sets.)
- 2021-02-05 23:19:56下载
- 积分：1
