DFTandFFT

通过对语音信号的采集和AD50数模转换实现语音信号的处理，并通过C54试验台可以很好的实现语音再现。FIR数据滤波数据需要通过MATLAB来实现。(Through the acquisition and AD50 voice signal digital-analog conversion of voice signal processing, and through the C54 test bed can be a very good voice reproduction. FIR data filtering data to achieve through MATLAB.)

John Dattorro Code to figure out if a given matrix is a Euclidean Distance matrix and find closest EDM in Schoenberg sense to it if not

《MATLAB 7.0编程基础基础》源程序 第5章(" MATLAB 7.0 programming the basis of the basis of" source Chapter 5)

说明：  模拟退火GUI演示，利用模拟退火算法求全局最大值最小值(Simulated annealing GUI demonstration, the use of simulated annealing algorithm seeking the global maximum value of the minimum)

Use Jacobi algorithm to solve the linear equation

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)

fingerprint image processing such as sungularity and core point detection

改进的混合高斯背景模型，用于检测运动目标，能够有效的提取前景(Improved gaussian mixture background model, used to detect moving targets, and can effectively extract prospect)

This book is for people who want to solve ordinary differential equations (ODEs), both initial value problems (IVPs) and boundary value problems (BVPs) as well as delay differential equations (DDEs). Solving ODEs withMATLAB is a text for a one-semester course for upper-level undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis. Implicit in these prerequisites is some programming experience, preferably in Matlab, and some elementary matrix theory. Solving ODEs withMATLAB is also a reference for professionals in engineering, science, and mathematics. With it they can quickly obtain an understanding of the issues and see example problems solved in detail. They can use the programs supplied with the book as templates.

用matlab实现了对指纹图像的细化处理，其中包括所有源代码，可以直接运行。(Refinement of the fingerprint image processing using matlab, including all source code can be run directly.)