Random-variable

基于聚类算法和模式识别的人脸检测程序原代码(Based on clustering algorithm and pattern recognition face detection procedures the original code)

几篇关于希尔伯特变换的论文，介绍希尔伯特变换(hilbert pdf)

image registration code for different code.

捷联式惯性导航的角速率匹配，使用matlab语言编写(Strapdown inertial navigation of angular rate matching )

Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

首先是对matlab程序设计的概述，其次是matlab程序结构的详细讲解以及M文件的简介(An instroduction about the program deisgn of matlab )

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. )

有关风机模拟的psm矢量控制内容，有关的人可以参考(Psm simulation on the fan the contents of vector control, the person can refer to)

光伏逆变系统的最大功率点跟踪算法，采用的是扰动观察方法，采用s函数编写，可直接载入simulink使用(maximum power point tracking method using perturb and observe method, written by s-function)

exresice of marcel sidi