eigface

信号处理程序包 高阶累积量 matlab 工具箱(Signal processing toolbox matlab package cumulant)

product traiangular system with shift

direct torque control of brushless dc motor based on space vector

关于matlab的一本不错的基础教程，对于初学者是一个不错的选择，当然对于长时间从事这方面的人来讲，也是一本不错的查询资料(On the basis of a good matlab tutorial for beginners is a right choice, of course, for long time engaged in this aspect, it is also a good inquires the material)

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. )

做一个K均值聚类和模糊C均值聚类，发现了一些东西(Do a K-means clustering and fuzzy C-means clustering)

Today, there is almost no area of technical endeavor that is not impacted in some way by digital image processing.We can cover only a few of these applications in the context and space of the current discussion. However, limited as it is, the material presented in this section will leave no doubt in the reader’s mind regarding the breadth and importance of digital image processing.We show in this section numerous areas of application, each of which routinely utilizes the digital image processing techniques developed in the following chapters. Many of the images shown in this section are used later in one or more of the examples given in the book. All images shown are digital.

基于质心计算和背景抑制的亮斑中心精确定位(Precise positioning of bright spot center based on centroid calculation and background suppression)

Matlab Linear algebra

说明：  基于原子分解的调频信号参数识别算法估计性能得到了很到的提高(paramater estimation of modulated signal based atomic decomposition)