Kalman

CA code generator of GPS signal

简单潮流计算：应用牛顿拉夫逊法。可以准确得到各节点电压向量大小，首末端功率，支路功率损耗(Simple flow calculation: The Newton Raphson method. Can get the exact size of the node voltage vector, the first end of the power, slip power loss)

这是montecarlo仿真程序，是用MATLAB编写的，也很容易理解，对理解montecarlo很重要！(This is a montecarlo simulation program is written with MATLAB, it is easy to understand, is very important for understanding montecarlo!)

这个matlab程序实现了目标对象的图像分割与提取技术，附件里的程序以车牌的检测与识别为例，效果非常好。(The matlab program to achieve the target object' s image segmentation and extraction technology, in the annex of the procedures for license plate detection and recognition, for example, the effect was very good.)

基于MATLAB_Simulink的系统仿真技术与应用 本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。(This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. )

说明：  冈萨雷斯全书MATLAB例程，全部代码源(Gonzalez book MATLAB routines, all the source code)

说明：  PLD的详细编程开发，主要是针对GAL16V8的的开发(Detailed PLD programming and development, mainly for the development GAL16V8)

说明：  IMM滤波的 matlab程序，这对于很多做机动目标跟踪和 金融预测的人来说很好的东西(IMM filter matlab program, which is to do a lot of maneuvering target tracking and financial forecasts for good things)

The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

可用matlaB实现的meanshift算法。这篇是开题报告，针对自动化专业。(failed to translate)