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this is a example about matlab and VC

利用Matlab生成GPS C/A 码的基带信号。 （1）产生卫星PRN 号码为“5”的一组C/A 码； （2）循环生成25 页的导航数据，GPS 时间可填入一固定的已知数值； （3）生成C/A 码扩频信号，每个C/A 码码片给出4 个采样数据； （4）基带信号采用方波信号，电平为0 和1，占空比为50 ％，不加入噪声，进一步生成某个特定的中频信号。(Matlab generated using GPS C/A code base band signal. (1) generation of satellite PRN number is " 5" a set of C/A code (2) loop generates 25 of the navigation data, GPS time can fill a fixed known value (3) to generate C/A code spread spectrum signal, each C/A code chip gives the four sampling data (4) baseband signals using square wave signal, level 0 and 1, 50 duty cycle, not to join the noise generated further a specific frequency signal.)

8自由度的汽车模型,包括abs clutch 建立了动力学公式的模型，需要对几个积分器设置初值，避免代数环(vehicle model of 8 degrees)

GO-CFAR检测是信号处理中非常常用的检测方法。该程序比较了理论值和实际值的仿真结果。实际中雷达信号往往是起伏的，该程序从SweringI型为例。(GO-CFAR detection is very commonly used detection methods in signal processing. The program compares the simulation results of the theoretical and actual values. The actual radar signals often are ups and downs of the program from SweringI type, for example.)

A program to use with matlab. PDI

程序完成的功能是用lms算法对声音去噪声。运行后先会听到canon的一小段无噪声的音乐，然后会听到加了噪声后的效果，最后会听到用lms去噪之后的声效。(Program to complete the function with lms algorithm to noise sound. Run first hear the canon of short noise-free music, plus the effect of noise will then hear, and finally will hear the sound denoising with lms.)

生理信号和生物医学图像的MATLAB处理书籍，适合生物医学专业需要(Biosignal and Biomedical Image Processing MATLAB based Applications)

很好用的matlabGUI学习PPT,通过细致深入的讲解，能够熟练使用matlab的图形界面设计。(Useful matlabGUI learning PPT, through detailed explanations, able to skillfully use matlab graphical interface design.)

《系统辨识与MATLAB仿真.pdf》 侯媛彬 汪梅 王立琦 本书共分8章，第1、2章为辨识的基本概念、理论基础和古典辨识方法；第3至6章为现代辨识内容，其中第3章是最小二乘参数辨识，第4章是梯度校正参数辨识，第5章是极大似然法的参数辨识方法，第6章是自适应参数辨识；第7、8章为复杂的非线性系统的智能辨识和混沌辨识，其中第7章是非线性系统的神经网络辨识；第8章是Volterra辨识方法、复杂系统的混沌现象及其辨识。从第2至7章，各章均包含开发的相应程序及其程序剖析。 (" System Identification and MATLAB simulation. Pdf" Hou Yuanbin Wang Mei Wang Liqi book is divided into eight chapters, Chapters 1 and 2 for the identification of the basic concepts, theoretical foundation and classical identification methods first 3-6 chapters of modern identification content, Chapter 3 is the least squares parameter identification, Chapter 4 is the gradient correction parameter identification, Chapter 5 is the maximum likelihood parameter identification method, Chapter 6 is an adaptive parameter identification Chapters 7 and 8 for complex Intelligent identification of nonlinear systems and chaos identification, which is in Chapter 7 of the neural network nonlinear system identification Chapter 8 is Volterra identification method, complex systems and chaos identification. From the first 2-7 chapters, each chapter contains procedures for the development of appropriate programs and their analysis.)

its about induction motor and how to control it