xinxilun

数据采集GUI与分析,可以读取与保存数据，用于串口控制(data collection and anlysis in GUI)

小波包程序，能够对信号进行特征提取，对初学者有用。(This is a wavelet packet program, which is useful for the Beginners. )

说明：  利用matlab实现的数字波束形成算法，适合初学者学习。(Implementation of Digital Beamforming Algorithms)

当目标高速运动时，用keystone算法校正距离走动，本程序给出了keystone算法程序(keystone transform can correct the envelop migration,the program gives the the keystone algorithm program)

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

对于连续非线性系统，可以使用灰色预测PID控制(For a continuous nonlinear system, you can use gray prediction PID control)

基带ＯＦＤＭ系统的Ｍ文件，对初学者有很大的参考价值(the code of the article was based on ＯＦＤｍ， have a very high reference value.)

this is a matlab file to register to image at the same scale.

这是一个基于matlab的阻尼振荡电路仿真文章，文件大小为230K。希望对大家有帮助(This is a matlab-based simulation of the damping oscillation circuit article, the file size is 230K. Hope to help)

simulating of abs system for one wheel