MIGRATION

书中给出了九个典型的自动化设计例子。展示了如何用The MathWorks和其他仿真工具，比如Simulink和Stateflow建模，以此来使自动化控制系统的设计更加便利。(This book includes nine examples that represent typical design tasks of an automotive engineer. It shows how The MathWorks modeling and simulation tools, Simulink® and Stateflow,TM facilitate the design of automotive control systems. Each example explains the principles of the physical situation, and presents the equations that represent the system. The examples show how to proceed from the physical equations to the Simulink block diagram. Once the Simulink model has been completed, we run the simulation, analyze the results, and draw conclusions from the study.)

vc下如何使用matlab,各种不同方法的介绍 还算详细吧 加油啦大家一起努力(vc matlab)

一个研究声多普勒计程仪很好的工具箱，不过我没有用过。(a study Acoustic Doppler- NG good toolbox, but I never used.)

This program calculates the 2D photonic Band Structure with PWE method.

A simple example showing how to track an object with particle filter. Likelihood is based on Bhattacharya distance of color histogram.

幻灯片课件，详细的介绍了用matlab进行绘图的方法，比较基础，建议初学者好好看看，很有用。(Courseware slides and detailed introduction to using matlab graphics methods, comparative basis, it is recommended for beginners a good look at, very useful.)

说明：  SVM分类器,关键是对信号进行分类，是模式识别的必备宝典(SVM classifier, the key is to classify the signal is essential for pattern recognition Collection)

被控对象在系统单神经元自适应PID控制下的阶跃响应，并和传统PID进行比较(Charged object in the step response of the system single neuron adaptive PID control and conventional PID to compare)

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，FFT，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的可靠性。 (This is a relatively complete OFDM communication system simulation design, including coding, modulation, IFFT, and down conversion, Gaussian channel model, the FFT, PAPR suppression, and a variety of synchronization, such as demodulation and decoding module and system performance omnibus The simulation results show the reliability of system design.)

此算法为用于解反问题的lsqr算法，对Ax=b，输入矩阵A，列向量b，以及迭代步数，求得列向量x(This algorithm is used for solution of the inverse problem lsqr algorithm, Ax = b, the input matrix A, the column vector b, as well as the number of iterative steps, to seek the column vector x)