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一篇关于ga算法在matlab中的应用的论文，用于解决参数优化问题。(ga on a MATLAB algorithm in the application papers for the settlement parameter optimization problem.)

image segmentation in matlab ppt.. source unknown

最新的matlab命令集合。搜集了网上的大部分(The latest collection of matlab commands. Collected most of the Internet)

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. )

说明：  fastICA的源程序，希望喜欢的下载交流 (err)

用Admas四阶预估-校正算法的PECE模式求下列初值问题的数值解，步长h=0.1。(with Adams estimated four bands- correction algorithm PECE following initial model for the numerical solution of the problem, Step-h = 0.1.)

主旨表遗传算法(keynote table GA)

第4章 MATLAB绘图 matlab 教程ppt (the ppt about matlab)

ofdm vs cdma thesis using matlab

岭回归分析（Ridge regression）是一种专用于共线性数据分析的有偏估计回归方法，这套源码是对ridge regression算法的一种实现，附有测试实例(Ridge regression (Ridge regression) is a special collinearity data analysis unbiased estimate of the regression method, this set of source code is an implementation of the ridge regression algorithm with test case)