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本文为Stephen J.Chapman《MATLAB 编程（第二版）》英文影印版的中文译本，这本 书对初学者很好的入门教材(This article Stephen J. Chapman " MATLAB Programming (Second Edition)" English copy version of the Chinese translation of the book a good primer for beginners)

这是关于数字预失真的仿真程序，应用LMS急降方法实现系数更新，对失真有很好的效果(This is the digital predistortion simulation program, the drop of the LMS coefficient update method implementation, have a good effect on the distortion)

包含用lms、mse、perceptron准则函数的二类分类器(Includes use of lms, mse, perceptron criterion function of the second-class classifier)

一份学习模糊控制很好的资料，希望能够给大家提供帮助。(a good reference about fuzzy control,hope it can help somebody!)

《智能控制》第一版（刘金琨著）第九章程序源码(" Intelligent control" the first edition (Liu Jinkun a) Chapter IX program source code)

SIMULASI3.ZIP SIMULASI3 ALAGORITHM.............. 55

fcm code for matlab 2009 and can clustering the item into several clusters with this algorithm

扩展卡尔曼滤波程序，matlab 仿真。(EKF simulation)

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. )

The code is an implementation of the phase-based optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002)(The code is an implementation of the phase- based optical flow algorithm described in Gaut Na'ama, and T. Van Hulle, M.M. (2002))