chengxu

小世界模型的构造和对应的matlab源码程序(Small-world Model)

说明：  matlab 建模资料，学习matlab的朋友可以借鉴一下(matlab modeling data, learning matlab friends can learn about)

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)

I want to sent a good PSO codes for matlab

本程序为基于几何地图方式的机器人定位matlab程序，利用地图匹配法定位，根据在局部地图中寻找完整线段与特征点，并在全局地图中寻找预制对应的线段(The programming is about the robot location which based the geometry map.this programming is used the method of map_matching ,in means of find the Complete Line Segments (CLS) and feature points in local map and Global map.)

ICA算法评价指标的计算程序SAR SIR SNR(ICA SAR SIR SNR)

ekf滤波器程序，用于导航方面的。用MATLAB写的。还行(ekf filter program, used for navigation. Written using MATLAB. Okay)

一种 matlib 仿真的UKF算法，一种 matlib 仿真的UKF算法，(ukf algorithm)

基于IPHONE平台开发的水果对对碰游戏，其中使用了COCOS2D游戏引擎(fruit game for iphone )

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )