robotarm

基于matlab的彩色图像转成灰度图像，然后进行图像旋转并画布扩大，最后进行均值插值(Matlab-based color image into gray image, and then expand the image rotation and canvas, and finally to mean interpolation)

说明：  lpcc的基本算法。使用matlab实现(lpcc the basic algorithm. Implementation using matlab)

基于均衡网络能耗的无线传感网络路由算法，包括分簇机制，数据传输机制等(Wireless sensor network routing algorithm based on balanced energy consumption of the network, including the clustering mechanism, data transmission mechanism)

对锅炉现场数据辨识后，分别采用GPC和DMC进行控制，采用m文件进行编程。(The boiler field data identification, respectively GPC and DMC control, use the m file programming.)

Emd 数据分析包 可以绘制希尔布特边际谱 包络谱等(Emd data analysis package，It can draw envelope spectrum and Hilbert-Huang Spectrum ,etc)

说明：  可在matlab中运行，是通过matlab读取视频的有效软件(Run in matlab, matlab read through the effective video software)

The MATLAB coding style, project options and synthesis directives can have a significant effect on the final results. Knowledge about how a particular algorithm should be implemented in hardware can be reflected in the MATLAB code to improve the results. In doing so, the MATLAB loses a bit of its abstraction but the lower-level MATLAB will infer the desired architecture into the device.(The MATLAB coding style, project options and synthesis directives can h ave a significant effect on the final results. K nowledge about how a particular algorithm shou ld be implemented in hardware can be reflected i n the MATLAB code to improve the results. In doin g so, the MATLAB loses a bit of its abstraction but the lower-level MATLAB will infer the desired arch itecture into the device.)

simulink模型 仿真WCDMA 上行链路(simulink of WCDMA uplink)

利用CC1000通信的仿真程序.这是适用于无线传感器网络Mica2平台的程序.(use CC1000 communication simulation program. This is applicable to the wireless sensor network platform Mica2 procedures.)

已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。 H0： W H1： A+W (Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)