MSK

关于matlab的介绍，比较实用，值得下载。其中关于libsvm的内容比较不错(matlab introduction of svm)

包括最小二乘法、SVM、神经网络、1_k近邻法,小波包分析提取振动信号中的特征频率，利用最小二乘算法实现对三维平面的拟合。( Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Wavelet packet analysis to extract vibration signal characteristic frequency, Least-squares algorithm to fit a three-dimensional plane.)

FIR(Finite Impulse Response)滤波器：有限长单位冲激响应滤波器，是数字信号处理系统中最基本的元件，它可以在保证任意幅频特性的同时具有严格的线性相频特性，同时其单位抽样响应是有限长的，因而滤波器是稳定的系统。因此，FIR滤波器在通信、图像处理、模式识别等领域都有着广泛的应用。 (FIR (Finite Impulse Response) filters: finite impulse response filter unit, digital signal processing system is the most basic components, it can ensure that any increase in the frequency characteristics of both a strictly linear phase frequency characteristics, while its unit sample response is finite, and therefore the system filter is stable. Therefore, FIR filters in communications, image processing, pattern recognition and other fields have a wide range of applications.)

有关S.J.Chapman《MATLAB编程》中文版修正版的书籍资料(For SJChapman " MATLAB Programming" revised version of the book Chinese data)

利用FFT实现基于MP的信号稀疏分解程序(Using FFT-based signal sparse decomposition process MP)

图论算法。图论算法在计算机科学中扮演着很重要的角色，它提供了对很多问题都有效的一种简单而系统的建模方式。很多问题都可以转化为图论问题，然后用图论的基本算法加以解决。本资料包含了Floyd、prim、匈牙利算法等算法(Graph algorithms. Graph algorithms in computer science plays a very important role, it provides a lot of problems for a simple and effective way of modeling the system. Many problems can be transformed into graph theory problems, and then use the basic algorithm of graph theory to solve them. This information includes Floyd, prim, the Hungarian algorithm algorithm)

Signal And Systems Lab_7

通过例子讲述Neville插值，直观清晰，用于初学者(By way of example tells Neville interpolation, clear and intuitive for beginners)

计算网络边介数的matlab程序，适合于中小规模网络，大规模网络需要较长时间(Calculate the number of edges referral network matlab procedures, suitable for small and medium-sized networks, large-scale network takes a long time)

说明：  主成分分析法将图像分为低秩部分和稀疏部分(Principal Component Analysis (PCA) divides images into low rank and sparse parts)