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方差分析与MATLAB应用、聚类分析及MATLAB应用、主成分分析及MATLAB应用。(Analysis of variance with the MATLAB application, the application of cluster analysis and MATLAB, principal component analysis and MATLAB applications. )

c and matlab code work together. It implement the meanfilter function.(c code and matlab co-work. This function shows the meanfilter of image. You can try the code. There is no bug inside. )

模态分解的MATLAB工具箱，非常有用的emd分解的工具(Mode decomposition MATLAB toolbox very useful tool emd decomposition)

《visual c++matlab图像处理与识别实用案例精选》源码(" Visual c++ matlab image processing and recognition of practical cases selected" source)

matlab用于导波光学中平板波导传播模式求解拟合程序(matlab for guided wave optics, planar waveguide propagation model for the fitting procedure)

大学数字信号处理实验题语音信号的高低通处理matlab程序答案(University of digital signal processing low pass of the experiment of the voice signal processing matlab program answer)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

this code find the complex solution ...................of real time system ..............

This piece of code can be used to import text file data of the signature samples, and pre-process them.

说明：  HE直方图均衡化matlab算法，能够实现基本的图像对比度增强(HE matlab histogram equalization algorithm)