New-chaos-particle--algorithm

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.)

ami码的波形及功率谱仿真，直接下载就可以运行。(ami code waveform and power spectrum simulation, direct download to run.)

matlab平台下libsvm程序包进行模式分类(libsvm in matlab to pattern classification)

五位巴克码相位编码信号仿真以及时域、频率特性研究(Simulation of Five Barker Code Phase Coded Signals and Study of Time Domain and Frequency Characteristics)

设计一个去隔行算法。把一段隔行扫描格式的视频序列转换成逐行扫描格式的视频。(Design a de-interlacing algorithm. To a sequence of interlaced video format into progressive scan video format.)

说明：  matlab有关遗传算法的源程序，并且内含有智能算法原理与应用的PPT.(matlab source of genetic algorithms, and the principles contained PPT intelligent algorithms and applications.)

Constructor Example with class

说明：  Matlab是科学计算与仿真中常用的工具软件，本文阐述Matlab编程中需要注意的问题！(Matlab is commonly used in scientific computing and simulation software tool, this paper, Matlab programming issues that need attention!)

连续系统的PID的simulink仿真模型(PID simulink continuous system simulation)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )