flms

去除基线漂移的几种方法的matlab实现。主要用于心电信号的处理！(To solve the baseline drift！！)

kalman算法用于信道均衡，有详细的过程和均衡效果显示(kalman algorithm for channel equalization, the details of the process and balanced results show)

很好的超声声场仿真软件，由丹麦理工超声实验室编写。(a good ultrasound simulating software, DTU ultrasound lab. )

matlab实现的卫星轨道模拟，利用卫星轨道根数参量，通过求解开普勒方程求解卫星轨道模型(matlab implementation of satellite orbit simulation, the number of satellite orbit parameters, by solving the Kepler equation model of satellite orbit)

电子通信系统的建模与仿真 第9章 天线及智能天线仿真 9.1 全向天线的波束下倾 9.2 天线阵的波达方向估计 9.3 天线阵的波束形成?(Electronic communications system modeling and simulation of Chapter 9 of the antenna and smart antenna simulation 9.1 omnidirectional antenna beam antenna array under the dump 9.2 Direction of Arrival Estimation 9.3 Antenna Array Beamforming ?)

本地同步信号与接收同步共轭相关的非常全面的仿真程序(Local synchronization signal and the received synchronization conjugate related very comprehensive simulation program)

GPS Academic programs in Matlab

说明：  matlab pcm的实现的函数，适合学生使用哦 函数有说明 方便阅读(matlab implement pcm for students. we have information about the function being used)

介绍了喷泉码中LT 码的编码译码过程，提供了详细的MATLAB 仿真代码和说明. 通过对三种不同度分布的LT 码进行性能仿真，并对仿真结果进行了分析，同时也对LT 码和Raptor 码进行了适当的比较.(Encoding of LT codes decoding process of fountain codes, and provide a detailed MATLAB simulation code and description. Performance simulation, and the simulation results are analyzed by the distribution of three different degrees of LT code, as well as the LT code Raptor codes proper comparison.)

The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1 The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. (The alogrithm employed in this toolbox for determining Lyapunov exponents is according to the algorithms proposed in [1] A. Wolf, J. B. Swift, H. L. Swinney, and J. A. Vastano, "Determining Lyapunov Exponents from a Time Series," Physica D, Vol. 16, pp. 285-317, 1985. [2] J. P. Eckmann and D. Ruelle, "Ergodic Theory of Chaos and Strange Attractors," Rev. Mod. Phys., Vol. 57, pp. 617-656, 1985. The algorithm given in [1] is used for first-order systems while the QR-based algorithm proposed in [2] is applied for higher order systems. by Steve W. K. SIU, July 5, 1998. )