yasuo

这是 Andrew Ng 机器学习讲义《Reinforcement Learning and Control》,包含了离散和连续MDP的内容，比官网的课件全。（官网的缺乏连续MDP部分）(This is Andrew Ng Machine Learning Materials " Reinforcement Learning and Control" , contains a discrete and continuous MDP content than the official website of the courseware whole. (Official website of the lack of continuous MDP section))

ou can use this M-file as a guideline for implementing CRC code generation using the Communications Toolbox functionality. This M-file does not include the error detection process, but you can easily use the process specified below to perform the CRC check:

这是一个基于GUI系统。 GUI是在命令行调用通过键入“ui_start”。 GUI是自我解释性。 工具提示是由于在蓝颜色。将光标定位需要这些详细的说明。主要文件 “runsim.m”。在这些模拟的单变量的选择是没有明确给出。这是因为单输入单输出的结果为特定 (This is a GUI-based system. GUI is invoked on the command line by typing " ui_start" . GUI is self explanatory. Tool tip is due to blue color. Position the cursor need these detailed instructions. Main File " runsim.m" . Single variable in these simulations is not clear given the choice. This is because the single-input single-output results for a particular)

auss Numerical Integration for univariate, finite integrals

function for lpcc feature extractions.functions taken from voicebox toolbox

MATLAB图形技术——绘图及图形用户接口(MATLAB Graphics Technology- Graphics and graphical user interface)

KEMA model of arcing in circuit breaker SF6

本程序实现了kalman滤波功能，并附带了仿真图片(This procedure implements the kalman filtering, and with the simulation images)

Windowed Fourier transform for fringe pattern analysis (with GUI) (• Run WFT in MATLAB environment. All processed data are automatically saved in result.mat 4. File list o wft2fw.m: the basic WFT algorithm. o unwrapping_qg_trim.m: quality guided phase unwrapping o WFT.m+WFT.fig: WFT overall interface o WFTKernel.m+WFTKernel.fig: interface for WFT parameter selection o imwritescale: to save data into image o readme.docx: this file. • 5. Notice Though wft2fw.m has been used by us for some years, the GUI was developed quite recently. The purpose is to make it easier to be used. Please feedback bugs to mkmqian@yahoo.com.sg. For more information, please refer to www.ntu.edu.sg/home/mkmqian. )

本学期研一课程开设了数值方法，由于数值计算是MATLAB一项重要功能，所以结合MATLAB学习数值方法也许是条捷径！为了让大家更好的理解课程内容，更熟练第运用matlab解决数值计算问题，我根据上节课的内容，编写了《拉格朗日多项式逼近》与《牛顿多项式逼近》程序，以抛砖引玉，和大家共同提高！（其中部分程序参考数值方法（MATLAB版）一书） 附件里有m文件和详细的使用方法！ 希望让大家受益！(Lagrange polynomial approximation)