matlabshiyonglizi

Best Ebook on pattern analysis

基于matlab的指纹识别，自动识别指纹库中的指纹，使用简单正确率高。(Matlab based on fingerprint recognition, automated fingerprint identification fingerprint , simple to use correct rate.)

重要的模拟程序，模拟精度很高，值得大家好好参考，好好学习一下(Important simulation, the simulation accuracy is high, is worth a good reference to learn about)

Traditional police boundaries—precincts, patrol districts, etc.—often fail to reflect the true distribution of criminal activity and thus do little to assist in the optimal allocation of police resources. This paper introduces methods for crime incident forecasting by focusing upon geographical areas of concern that transcend traditional policing boundaries.

反馈控制系统设计与分析－MATLAB语言应用（薛定宇）(Feedback Control System Design and Analysis-MATLAB language applications (Xue Dingyu))

此程序是在假设已知波达角的情况下进行仿真验证的实验，零陷music波速成形。(This procedure is known in the hypothetical case of DOA conducted simulation experiments, velocity forming nulls music.)

潮流计算，含风电场的潮流计算，主程序很大含随机潮流计算。(Flow calculation, wind flow calculation, the main program with large random flow calculation.)

filtered-ofdm信号处理，包括IFFT，pulse shaping ，信道估相位估计等模块(filtered OFDM signal processing)

说明：  关于matlab的一些语句讲解说明，包括最常用到得(On a number of statements on matlab, including the most commonly used were)

说明：  关于解微分方程的matlab小程序，适合本科生学习使用。(MATLAB in Physics is a four lecture series in MATLAB that is offered to first year physics undergraduate students. This lecture shows how to use MATLAB to simulate physical systems using a range of methods. Projectile motion is analysed using the Symbolic Math Toolbox, then more complicated chaotic systems are simulated using the MATLAB ODE solvers. Some advanced programming techniques such as Object Oriented Programming (OOP) and Graphical User Interface (GUI) programming are briefly covered. The aim of this lecture series is to introduce students to computational methods in MATLAB to solve problems arising in physics that cannot be solved analytically. No prior knowledge of MATLAB is required. Themes of data analysis, visualization, modelling and programming are explored throughout these lectures. )