directcontrol

综合使用EViews（统计软件）与Matlab实现广义自回归条件异方差模型(GARCH)的模拟、估计与预测(Integrated use EViews (statistical software) and Matlab achieve generalized autoregressive conditional heteroskedasticity model simulations, estimates and projections)

小波变换模极大值重建信号的matlab源程序，来源于胡广书的《现代信号处理教程》附属光盘(wavelet transform modulus maxima method wavelet transform modulus maximum method wavelet transform modulus maxima applying)

加入3点或5点中值平滑处理后再绘制上述基频曲线与未平滑曲线比较，观测完整一段话音的基频包络变化情况(Add to 3:00 or 5:00 in the value of the smoothing then draw the base frequency curve is not a smooth curve compared with the observed period of complete voice baseband envelope changes)

设计两输入单输出模糊控制器，通过仿真理解并分析E和EC的参数选择对系统稳态误差和动态性能的影响。(Two input single output fuzzy controller is designed to understand and analyze the influence of parameters selection of E and EC on the steady-state error and dynamic performance of the system.)

该算法是根据自适应差分脉冲编码调制原理编写的算法，该算法利用了语音信号样点间的相关性，并针对语音信号的非平稳特点，使用了自适应预测(The algorithm is based on principles of adaptive differential pulse code modulation written algorithm, which samples the voice signal using the correlation between, and for non-stationary characteristics of speech signal using an adaptive prediction)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

孙志忠编写的《偏微分方程数值解法》一书中例题1.1.3的程序。用紧差分格式解常微分方程边值问题。(SUN Zhi-zhong prepared, )

自己写的卷积编码MATLAB程序，已将验证过了，没问题，可以用的哈！(Wrote it myself, convolutional coding MATLAB program has been verified, and no problem, you can use Ha!)

Gamit的说明资料，信息多多可以供参考，英文。(Gamit the descriptive information of info can be used for reference, in English.)

说明：  适合初学者ransac算法的基本原理，较为详细全面的介绍了ransac算法(Ransac algorithm suitable for beginners the basic principles of a more detailed and comprehensive introduction to the ransac algorithm)