支持向量机

一个外国人Anton Zaicenco 2004年开发的一个有限元工具箱，实在Matlab环境下开发的。里面有多个例子，可以向Matlab工具爱好者展现她的有限元分析特点和技巧。(FEM analysis toolbox for solid mechanics. Project started: Aug 2004 Anton Zaicenco )

Matching Pursuit with Random Sequential Subdictionaries

GPM1002B0 初始化代码，颜色艳丽，可以直接使用(GPM1002B0 initialization code)

传统的短时谱估计语音增强算法通常假设语音谱分量相互独立，没有考虑语音谱分量间的相关性。针对这 一问题，该文提出一种新的基于多元Laplace分布模型的短时谱估计算法。首先，假设语音的离散余弦变换(DCT) 系数服从多元Laplace分布，以此利用谱分量间的相关性；在此基础上，利用多元随机矢量的高斯尺度混合模型表 示，推导得到语音DCT系数矢量的最小均方误差(MMSE)估计的解析表达式；并进一步推导了基于该分布模型的 语音存在概率，对最小均方误差估计子进行修正。实验结果表明，该算法在抑制背景噪声和减少语音失真等方面优 于传统的语音增强方法。(The spectral components of speech are usually assumed to be independent in traditional short-time spectrum estimation, which is not the case in practice. Tosolve this problem, a new speech enhancement algorithm with multivariate Laplace speech model is proposed in this paper. Firstly, the speech Discrete Cosine Transform (DCT) coefficients are modeled by a multivariate Laplace distribution, so the correlations between speech spectral components can be exploited. And then a Minimum-Mean-Square-Error (MMSE) estimator based on the proposed model is derived using a Gaussian scale mixture representation of random vectors. Furthermore, the speech presence uncertainty with the new model is derived to modify the MMSE estimator. Experimental results show that the developed method has better noise suppression performance and lower speech distortion compared to the traditional speech enhancement method. )

小波包分析提取振动信号中的特征频率，是小学期课程设计的题目，采用的是通用的平面波展开法。( Wavelet packet analysis to extract vibration signal characteristic frequency, Is the topic of the elementary school stage curriculum design, Using common plane wave expansion method.)

说明：  三相逆变并网，采用全前馈能有效抑制谐振。(Three-phase inverters connected to grid can effectively suppress resonance by using full feed-forward.)

基于MATLAB对图形图像进行多方面的处理，先图形直方图均衡处理，再通过积分投影，分别为水平投影，垂直投影，再则进行精确定位目标(MATLAB-based graphical images on a wide range of processing, the first graphical histogram equalization processing, and through the integral projection, horizontal projection, vertical projection, she then accurately locate targets)

Matlab source code to visualize Homography co雈ficients.

backstepping方法设计例子，对于初学者为不错的样例，我本人就是通过这些练习起来的。很有效(The backstepping method design examples for beginners is a good sample, I was up by these exercises. Very effective)

车辆工程平顺性方面的1/3倍中心频率的有关程序，我自己用的。大家可能要改一下。()