matlabvolating

this program does some digital image processing using matlab. It does some filtering and enhancments to any chosen image

用双线型描述系统，并且使系统的模型具有良好的鲁棒性(Described by bilinear system, and the system model has good robustness)

这是一个matlab主程序，介绍的是几种混沌系统吸引子的图像的主程序(This is a matlab main program, introduced several chaotic attractor is an image of the main program)

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.)

Basic Kalman filter, heavily commented, for beginners to Kalman filtering.希望对广大matlab爱好者有用(Basic Kalman filter, heavily commented, for beginners to Kalman filtering. hope to the majority of matla b useful lovers)

用于室内定位的TDOA算法matlab仿真代码：含chan氏，taylor算法，卡尔曼滤波算法，及改进的基于卡尔曼的奇异值抛弃和整体偏移法,考虑NLOS因素(matlab simulation code of the TDOA algorithm For indoor positioning : containing chan s, taylor algorithm, the Kalman filter algorithm, and improved singular value based on Kalman abandoned and the overall offset method)

Digital Signal Processing-LiTAN

线性卷积要求两个输人序列具有持续时间，但在实际应用中，可能遇到输人序列具有无限持续时间的情况。在这种情况下，分段卷积是一种有效的解决方案。文章讨论了计算分段卷积的两种方法。仿真试验表明，分段卷积方法正确且高效。(The linear convolution needs two finite-time input sequences, but in the actual application, two infi- nite-time input sequences are possible. Under this kind of situation, the partition convolution is an effective solu- tion. In this paper, two methods of the partition convolution are discussed. The simulation experiment indicatesthat the partition convolution is correct and effective.)

利用matlab仿真绘制不同的广义路径损耗模型(Simulation using matlab draw different generalized path loss model)

说明：  新能源电网（风力发电）使用STATCOM进行无功补偿实例(STATCOM reactive power compensation)