matlab蚁群算法工具箱matlab蚁群算法工具箱源代码

说明：  MATLAB中plot函数的典型应用，适合初学者熟悉绘图函数(MATLAB plot function in a typical application, suitable for beginners familiar with the drawing functions)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

simulation of communication systems and software defined radio from the book chapter 5

几个粒子滤波的粒子。包括普通的粒子滤波和基于扩展卡尔曼滤波器的粒子滤波器源程序。(Several particle filter particles. Including ordinary particle filtering and extended Kalman filter-based particle filter source.)

演示代码为“独立分量分析:教程介绍”版权:2005年,企业石、心理学系、谢菲尔德大学,谢菲尔德,英格兰。(Demonstration code for "Independent component analysis: A Tutorial Introduction")

基于MATLAB的Walsh函数的产生.在MATLAB程序仿真部分，主要分为6大部分，分别为主函数，发送模块，接收模块，AWNG信道，Walsh函数和差错计数器。(Walsh functions generated based on MATLAB.MATLAB simulation program in part, is divided into six parts, the main functions are sending module, receiver module, AWNG channel, Walsh functions and error counters.)

说明：  线性自抗扰通过sfunction实现，适用于基础入门学者。(Linear auto-disturbance is achieved through sfunction,For basic entry scholars.)

PCA及其改进算法MPCA进行人脸识别MATLAB源程序(PCA&&MPCA face recognition MATLAB code)

说明：  MATLAB中数字图像处理和相关的基本操作，里面包含实验设计例子与调试等。(Image Processing)

说明：  这是一个用带亮度傅立叶描述子提取纹理特征的程序(This is a band brightness using Fourier descriptors of texture feature extraction procedures)