The-FDTD-algorithm-based-on-MATLAB

对比例阀气动伺服系统的matlab仿真，仿真结果良好(Proportional valve for pneumatic servo system, matlab simulation, simulation with good results)

刚刚找到的，貌似还可以用，请下载的话，自己修改一下，别让老师发现就行了！(Just found, looks like you can use, download it, its changed a bit, do not let the teacher found on the line!)

采用MATLAB语言编译的数值积分函数，希望对大家有用(numerical integration)

三相并网逆变器下的LCL滤波器的谐波分析 给出逆变器输出电压和网侧电流的各次谐波表达式及其所占基波分量。 (lcl lcl lcl lcl)

对于无线通信中常见的多径效应进行仿真，此次仿真基于两径信道，给出了两径信道的误码率仿真(simulation of the two_path channel)

用 Matlab 编程模拟 李萨如曲线 两互相垂直的，频率成一定整数比例关系的简谐振动合成，合振动为有一定规则的稳定的闭合曲线，称李萨如曲线。运行程序，令a=pi/3,k=3可得李萨如曲线(simulation using Matlab programming Lissajous curve as two mutually perpendicular. frequency of a certain proportion of the whole synthesis of harmonic vibration, a vibration of a certain rules of the stability of the closed curve Li said if Savimbi curve. Operational procedures, a = pi/3, k = 3 available as Lissajous curve)

基于Matlab的四象限圆弧插补程序，通俗易懂,功能强大.(Matlab-based four-quadrant circular interpolation procedures, user-friendly, powerful.)

火焰特性提前的代码，很好用，对图像识别和后续处理有帮助。(Flame characteristics ahead of the code, very easy to use, for image recognition and follow-up processing helpful.)

基于BP神经网络的一种PID实现方法，将神经网络技术和常用的PID方法结合，实现更精准的控制。(A Realization Method of PID Based on BP Neural Network)

说明：  通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)