cfastica_public

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)

基于matlab的数字基带系统各种调制解调链路，包括am,ssb,pcm等，对调制信号，误码率，眼图等进行了仿真(Matlab-based system, a variety of digital baseband modem link, including am, ssb, pcm, etc., on the modulation signal, the error rate, eye diagrams simulated)

matlab simulnik MIMO仿真代码(matlab simulnik MIMO simulnik)

用matlab的m函数实现pid控制的silulink模型，实现了m语言和simulik模型的结合(Matlab m-function to the pid control the silulink model to achieve the combination of the m language and simulik of model)

包括最小二乘法、SVM、神经网络、1_k近邻法,BP神经网络用于函数拟合与模式识别，在MATLAB中求图像纹理特征，代码里有很完整的注释和解释，通过反复训练模板能有较高的识别率。(Including the least squares method, the SVM, neural networks, 1 _k neighbor method, BP neural network function fitting and pattern recognition, In the MATLAB image texture feature, Code, there are very complete notes and explanations Through repeated training jLKGpfTlate have higher recognition rate.)

步进电机失步情况的一个仿真.这是一个比较完整的方针,但是仅仅考虑了在单个脉冲下的失步情况.(Stepper motor out-of-step situation in a simulation. This is a relatively comprehensive approach, but considered only in a single pulse under the out-of-step situation.)

粒子群算法的MATLAB编程。。。。。。。。。。。。。。。。。。(Particle Swarm Optimization of MATLAB programming. . . . . . . . . . . . . . . . . .)

using Matlab prepared by the four bands Runge-Kutta procedure

Matlab source code related to basic image types. which is useful for the developers

计算机控制的matlab例程 自己做的关于课程的仿真程序(Computer-controlled matlab routines to do their own on the course of the simulation program)