SCCCmatlab

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.)

本文是个人整理的，对S函数的原理做了基本介绍，然后对S函数的面板进行了详细的注解，算是加入了自己理解的翻译(This article is the personal finishing basic principle function of S, then the S-function panel detailed annotations, regarded as adding their own understanding of the translation)

- AUTOMATIC KALMAN FILTRE -

利用ccs环境、MATLAB环境、DSP（TMS320F2812)、被测对象和Agilient网络分析仪E5071B，构建一个自动测量系统。 相信大部分人都知道基于NI公司的GPIB总线，可以实现自动测量，但NI公司的方案实在太昂贵，采用MATLAB能够大大降低成本。matlab与ccs之间基于RTDX协议进行数据交换，同时matlab基于TCP/IP协议与E5071B之间通信，源码说明如下： （1）RTDX_ok目录：matlab7.0代码，包含了一个用GUI实现的界面和相关的具体代码，特别是在其中实现了SCPI语言来对仪器进行控制。 （2）TMS320F2812目录：包含ccs下的c代码，如果没有做过RTDX的应用，相信这个对你很有启发。(Use ccs environment, MATLAB environment, DSP (TMS320F2812), the measured object and Agilient network analyzer E5071B, construct an automatic measurement system. I believe that most people are aware NI' s GPIB-based bus, you can realize automatic measurement, but NI' s program is too expensive, the use of MATLAB can greatly reduce costs. ccs between matlab and RTDX protocol-based data exchange, while matlab based on TCP/IP protocol and communication between the E5071B, the source described as follows: (1) RTDX_ok directory: matlab7.0 code, contains a GUI implementation with the interface and specific code, especially in one of implementation of the SCPI language to control the apparatus. (2) TMS320F2812 directory: contains ccs of c code, if not done RTDX application, then I think it was very instructive for you.)

用matlab中的simulink模拟的一个rs触发器 (Simulink with matlab simulation in a rs flip-flop)

matlab编制的通过卷积完成特征点匹配的软件(match image feature points by correlation)

MATLAB实现gray到RGB的转化，包括图像文件及M文件(MATLAB realization of gray to RGB conversion, including image files and M files)

测试IIR滤波器的单位冲激响应曲线； 检查IIR滤波器的频率特性。 (IIR filter testing unit impulse response curve check IIR filter frequency characteristics.)

说明：  matlab中常见txt文件读入的实用方法 (matlab common txt file into a practical method)

在不加噪声的情况下，利用细菌觅食优化算法（BFA)辨识NARMAX模型(In the case without noise, the use of bacterial foraging algorithm (BFA) Identification NARMAX model)