GARCH工具箱（包括多元）

蒙特卡洛算法的均匀分布随机数生成的matlab小程序(Uniformly distributed random number generating Monte Carlo algorithm in MATLAB small program)

说明：  使用matlab 实现的多相滤波。。。。。(With the realization of Mmatlab multiphase filtering )

说明：  离散余弦变换的程序，主要对数据的实数部分进行变换(Discrete cosine transform procedure, the main part of the data to transform the real)

说明：  matlab 电机控制仿真源代码 matlab 电机控制仿真源代码 matlab 电机控制仿真源代码 matlab 电机控制仿真源代码(matlab simulation of motor control motor control simulation matlab source code source code source code matlab simulation of motor control motor control simulation matlab source code)

Template Classes的用法(Template usage)

使用自然梯度盲分离算法，实现对四个亚高斯信号的分离，并从分离结果可总结出盲分离算法的两个不确定性。同时给出了串音误差。(Blind separation using the natural gradient algorithm to achieve the separation of the four sub-Gaussian signals, and the separation results can be summarized from the blind separation algorithm of two uncertainty. Crosstalk error is also given.)

Matlab策略之动量策略，根据前P个月的收益率，选取股票收益率最高和最低的组合买入，并持有Q个月(Matlab strategy momentum strategies, based on the previous month yields P, select the highest and the lowest stock returns a combination of buy and hold Q Months)

研究上课所讲谱分析方法，利用实验验证书中的结论，掌握各种谱分析方法，学会实验设计和实验结果分析。 实验内容： 所应用到的谱分析方法，包括： 1） 非参数化方法：周期图（直接法）、BT法（间接法），Welch平均周期图法 2） 参数化方法： RELAX、Capon 3） 空间谱估计：常见的DOA方法（Capon） (Experimental Objective: To study methods of spectral analysis class talking about the use of experimental verification of the conclusions of the book, to master a variety of spectral analysis methods, learn experimental design and experimental results. Experiment content: applied to the spectral analysis methods, including: 1) non-parametric methods: periodogram (direct method), BT method (indirect method), Welch average periodogram 2) parameterization: RELAX, Capon 3) spatial spectrum estimation: common of DOA method (Capon))

本光盘为《详解MATLAB快速入门与应用》一书的配套光盘，包括以下内容： 1.“sample”文件夹：提供了本书各章范例的源程序。(The CD is " Getting Started with MATLAB Detailed application," a book supporting the CD, including the following:. 1 " sample" folder: each chapter provides examples of the book source.)

The function calculates the mean curvature of the input structured matrix data.