Seed-实验室

简单实现烟雾检测，在本次所采用的简易方法中，采用的是基于背景差分法(Simple realization of smoke detection)

Microsoft Visual Studio 1123

分子动力学程序，fortran语言软件包打开-Molecular dynamics program, fortran language package opened

VB编写的类似PPStream视频客户端程序，可在线看视频，自带有流媒体播放功能，选择节目后即可播放视频，虽然不是最新的技术，但里面有不少相关视频点播、播放技术还是很值得值得VB新手学习参考的。

指出了非线性动态信号参数辨识的重要性；分析了目前采用的方法的不足；对非正交复Morlet小波满足Mercy条件和再生性的命题作了证明；用复Morlet小波构建出一种核函数，与主分量分析方法相结合，对非线性动态信号进行参数辨识和预测；仿真结果验证了该方法的正确性和有效性，表明该方法具有较好的理论价值和实用价值。 (Pointed out the nonlinear dynamic signals the importance of parameter identification analysis of the current shortcomings of the method used for non-orthogonal complex Morlet wavelet Mercy meet the conditions and regeneration of the proposition was made to prove using complex Morlet wavelet to build a nuclear function, with the principal component analysis approach combining nonlinear dynamic parameter identification and signal prediction simulation results verify the correctness and effectiveness, show that the method has a better theoretical value and practical value.)

较基础的R语言学习书籍，初学时比较适用。(R language programming)

这是一个使用EMD分解出IMF的例子，一个试验信号由一个tone信号，一个chirp信号，叠加得到，目的是使用EMD将这两个信号分离，得到的预期结果应该是chirp信号在高阶，tone信号在低阶，（原因是chirp信号在各个局部的频率都比tone信号高）。(This is an example of using EMD to decompose the IMF. A test signal consists of a tone signal and a chirp signal. The purpose is to separate the two signals using EMD. The expected result should be that the chirp signal is at a higher order, the tone The signal is in the low order, (because the chirp signal is higher in all local frequencies than the tone signal).)

matlab机器人建模入门试验，建立多自由度机械臂，运动学仿真(Introduction test of MATLAB robot modeling, establishment of multi-degree-of-freedom manipulator, kinematics simulation)

实现SVPWM的算法实现和仿真，基于FPGA平台用VHDL语言编写(Realization and Simulation of algorithm for realizing SVPWM)

说明：  2DFDTD程序，用来计算(TE)周期结构(2DFDTD procedures used to calculate the (TE) periodic structure)