TPDS---TheLastWaterMellon-(2)

初学者最想看到的简单的源码，实现最基本的功能！希望适合所有新人！(Beginners most want to see the simple source to achieve the most basic function! New hope for all!)

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.)

复旦大学自动控制理论matlab基础第三讲，关于matlab的知识(Matlab automatic control theory based Fudan University Lecture, on the knowledge of matlab)

用MATLAB实现的变色龙（chameleon）算法实现(Using MATLAB to achieve an version of Chameleon (chameleon) algorithm)

technique d accès multiple CDMA (Code Division Multiple Access)avec une technique SD (Soft Decision)

arduino due pinout pdf for sam3x8e 非常有用的文档(arduino due for all pinout pdf for sam3x8e)

牛津大学 优化方法课件 optimization(oxford optimization lecture notes)

MNF变换，能够实现高光谱遥感图像的MNF正逆变换，进行图像降维与重建(MNF transform, to achieve high spectral remote sensing images MNF inverse transform, image dimensionality reduction and reconstruction)

single phase 11 level inverter

需要参考图像的图像质量评测算法(MS-SSIM)(Multi-Scale Structural Similarity Index (MS-SSIM). )