ViBe_Matlab

lyapunov指数总结,讲的很详细，是学习的好资料，大家快下载吧(Lyapunov index, speak very detailed, is learning good information, everyone to download)

基于Matlab的特征提取源程序，对特征提取很有用的。(Matlab feature extraction based on feature extraction of the source program, very useful. )

说明：  深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)

a matlab code that can be used for calculating the PCA of any kind of data , using simulink

遗传算法源码，对遗传算法的学习改进有帮助，有例子。(Genetic algorithm source code, learning improvement of genetic algorithms to help, there are examples.)

matlab环境下开发的模糊控制原程序。(matlab environment developed under the original procedure of fuzzy control.)

this file is usefull for fine alignement of 2 set of data

自己写的快速傅里叶变换，处理N点数据的傅里叶变换，含两个MATLAB的M文件,可直接使用(Fast Fourier Transform, write your own data of the N-point Fourier transform, containing two MATLAB M-files can be used directly)

this is the code which is used apart from rls

MATLAB仿真，自适应均衡器的LMS算法(LMS algorithm MATLAB simulation, adaptive equalizer)