Kalman

悬架系统的天棚阻尼控制策略，有效减低系统的动载荷，加速度(Ceiling suspension system damping control strategy to effectively reduce the system dynamic loads, accelerations)

ABS function to solve the velosity of the vehicle vs the velosity of the wheels System will automatically delete the directory of debug and release, so please do not put files on these two directory.

A Genetic Algorithm for Function Optimization A Matlab Implementation

amplitude shift keying,frequency shift keying.phase shift keying,pulse amplitude modulation,pulse width modulation

这是Matlab的FCM源代码，聚类数目可自行设定，最后显示聚类结果。(This is the program of FCM in Matlab language,you can set the number of clustering,and it will show the outcome of clustering.)

说明：  Matlab源代码，EM Algorithm(EM Algorithm)

Coding Tutorials for Computational Fluid Dynamics

一种多普勒仿真信号，可以用来构造多普勒信号(One kind of Doppler signal simulation can be used to construct Doppler signal)

地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。(Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the principle of correlation and convolution to predicte multiples. There are differences between the prediction signal and the original signal on the phase and amplitude, so we use the L1 norm method to match the singal.We provide two methods for solving ill equation, respectively Gauss- Seidel method and regularization method.)

说明：  半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)