Response-of-RLC-Series-Circuit

初学matlab的教程，比较全面，比较实用，此部分为第一部分。(Matlab beginner tutorial, more comprehensive, more practical, this section is the first part.)

用matlab实现蓝噪声，其中蓝噪声生成使用滤波器实现，进行图像处理(Using matlab blue noise, which is generated using a blue noise filter to achieve, for image processing)

利用小波方法对语音信号进行去噪，取得了很好的效果。(The method of voice signal using wavelet denoising, and achieved good results.)

自适应滤波器，求解性能误差曲面和等值曲线，最陡下降法和LMS算法的比较，(Adaptive filter, the solution surface and contour error performance curve, the steepest descent method and the LMS algorithm,)

MATLAB-遗传算法-多车场-开放式-带时间窗-多商品-VRP问题(MATLAB- genetic algorithm- MultiDepot- open- with time windows- multi-commodity-VRP problem)

将PID算法与MAC算法相结合，使具有更好的控制效果。(The PID algorithm and MAC algorithm combined with better control effect.)

本程序利用杜修力－陈厚群功率谱，考虑空间二维相干的hao相干函数模型的沿桥纵向地震波(This procedure using DU Xiu-li- Chen Houqun power spectrum, consider the space of two-dimensional coherence function hao coherent model of the longitudinal seismic waves沿桥)

这些录音由Thorsten Zander，柏林，和蔼可亲地提供；如果你使用这些录音的出版物，请引用： 赞德，T. O.，Kothe，C.，Jatzev，S.＆Gettne，M（2010）。增强人机交互与主动和被动脑机接口的输入。在大脑-计算机接口中（181-199页）。斯普林格伦敦。(These recordings were kindly provided by Thorsten Zander, TU Berlin; if you use these recordings for a publication, please cite: Zander, T. O., Kothe, C., Jatzev, S., & Gaertner, M. (2010). Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Brain-Computer Interfaces (pp. 181-199). Springer London.)

实现Kalman滤波功能，帮助理解Kalman滤波算法的实现过程。(The realization of Kalman filtering, to help understanding the realization of Kalman filtering algorithm.)

说明：  一维FDTD的可视化实现，注释详细完备，适合初学者。光在一D真空中的传播。(The one-dimensional FDTD visualization of complete, detailed notes, suitable for beginners. That light travels in a vacuum in communication of D)