Application-of-Matlab-toolbox

说明：  电子书：精通MATLAB 北航 张志勇等人著(Electronic book (pdf version): Be a expert of MATLAB. Written by Zhiyong Zhang of BUAA)

基于MATLAB的语音信号分析与处理，包括检查滤波及GUI的设计。(digital signal processing based on matlab)

仿真效率很高的，包含特征值与特征向量的提取、训练样本以及最后的识别，直线阵采用切比学夫加权控制主旁瓣比，包括广义互相关函数GCC时延估计，含噪脉冲信号进行相关检测。(High simulation efficiency, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Including the generalized cross-correlation function GCC time delay estimation, Noisy pulse correlation detection signal.)

说明：  梯度下降法对数据进行分类，并取了四个数据点，对分类进行证明。对梯度下降法有详细的备注。(The gradient descent method classifies the data and takes four data points to prove the classification. There are detailed remarks on gradient descent method.)

多通道盲卷积实现图像超分辨率重建 效果不错 (Blind convolution multiple images super-resolution)

聚类工具箱，此工具箱在处理聚类问题时，作用很大！(FCM toolbox)

基于hmm的matlab程序，能够识别0—9十个数字(Hmm based on the matlab program, be able to identify dozens of figure 0-9)

LPC code sample3 matlab

激光原理 涉及光纤模式、调制等等内容，学习用(Laser principle involved in the content of the fiber mode, modulation, etc., learn to use)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)