zuiyouzhenliedaima

鱼群算法，一种用Matlab实现的鱼群算法。(Fish algorithm, a Matlab algorithm to achieve the fish.)

异步电动机直接转矩控制基本原理及三相交流调速系统仿真(Induction motor direct torque control and the basic principles of three-phase AC Variable Speed System)

惯性导航的Matlab程序，可以直接运行-Inertial navigation of Matlab procedures, can be directly run(Inertial navigation Matlab program, you can directly run-Inertial navigation of Matlab procedures, can be directly run)

这是关于使用matlab处理DTFT变化的一篇很好的文档，其中有理论、有程序。(This is a document on the use of matlab processing the DTFT change a good theory, procedures.)

此例程为配套书籍的第六章例题6-5的相对应代码，功能为计算非平稳随机信号的WVD时频谱，编程环境为matlab。(This routine matching books Chapter Example 6-5 corresponding to the code for the calculation of the non-stationary random signal WVD spectrum programming environment for matlab.)

Orthogonal Greedy Algorithm Sparse Signal Reconstruction for Compressive Sensing

matlab code for LBM d2q9

Asynchronous Physical-layer Network Coding Scheme for Two-way OFDM Relay

EBMA to detect the motion between different frames in the video

An implementation of Unscented Kalman Filter for nonlinear state estimation. (Nonlinear state estimation is a challenge problem. The well-known Kalman Filter is only suitable for linear systems. The Extended Kalman Filter (EKF) has become a standarded formulation for nonlinear state estimation. However, it may cause significant error for highly nonlinear systems because of the propagation of uncertainty through the nonlinear system. The Unscented Kalman Filter (UKF) is a novel development in the field. The idea is to produce several sampling points (Sigma points) around the current state estimate based on its covariance. Then, propagating these points through the nonlinear map to get more accurate estimation of the mean and covariance of the mapping results. In this way, it avoids the need to calculate the Jacobian, hence incurs only the similar computation load as the EKF. For tutorial purpose, this code implements a simplified version of UKF formulation, where we assume both the process and measurement noises are additive to avoid augment of state and a)