Particle-Swarm-optimization

本程序描述了kalman滤波算法，利用初学者加深对kalman滤波算法的理解。(This procedure describes the kalman filter algorithm, the use of beginners to deepen the understanding of the kalman filter algorithm.)

使用Matlab实现粒子群算法对于函数FUN寻优(Achieved using the Matlab function FUN Particle Swarm Optimization for)

基于matlab的雷达信号仿真分析，包含过程讲解与代码(Based on analysis of radar signal simulation matlab, including the process of explanation and code)

设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。(Design a CQMFB, low pass filter H_0 (z) the half-band filter. The length of the half-band filter 47, passband cutoff frequency ω_p = 0.42π, try to give H_0 (z), H_1 (z), G_0 (z), G_1 (z) of the amplitude-frequency response, the unit sample response and Paint. Try to generate a signal that consists of two sinusoidal composition plus white noise, a low frequency, a high frequency in the signal to noise ratio, frequency and sine and white noise of its own given. Trial designed filter group that signal decomposition and reconstruction. Results were rebuilt, and the results continue to be analyzed.)

这是一篇介绍如何利用s函数对dq坐标系下的异步电机进行建模仿真的文章，给出了关键部分s函数代码，并有仿真结果(This is an article on how to use s function dq coordinate system for modeling and simulation of induction motors article gives a critical part of the s function code, and simulation results)

说明：  前推回代法通用matlab程序,收敛性好！(Before backward substitution method General matlab program, Convergence!)

用于信号处理中的DOA估计，谱估计，检测等()

codificador huffman para matlab

基于自动细胞法的平面交叉口仿真 对平面交叉口不取消左转的仿真程序：model1.m 对平面交叉口以绕行方式取消左转的仿真程序：model2.m 对平面交叉口以迂回方式取消左转的仿真程序：model3.m (Does not abolish the intersection turn left emulator: model1.m intersection to bypass cancel turn left emulator: emulator model2.m circuitous way to cancel the intersection turn left: model3.m)

gray mapping code for using matlab