zigzag

在本次仿真中，信道加入了高斯白噪声，收端采用了相干解调的解调方法。附详细的WORD文档说明(In this simulation, the channel joined the Gaussian white noise, closed-ended demodulation using coherent demodulation method. WORD document attached to a detailed description)

This code is used to detect corners in the image,contains harris,susan,gilles,harrislaplace,youhua and so on. This code is ease to understand and can be used convinently. It will be useful for some people who are interested in this domain. Happy every one!

超宽带定位系统中，使用chan算法和taylor算法相结合是最优化的定位方案文档中包含了matlab源码(UWB positioning system, the use of chan combination of algorithm and taylor algorithm is optimal orientation program document contains the matlab source code)

基于径向基神经网络的无网格法及其应用，神经网络的应用(Radial Basis Function Neural Network Based on the non-grid method and its application)

源码为matlab例程，实现认知无线电中主用户和次用户频谱分配的算法(Source code for matlab routine, cognitive radio algorithm primary users and secondary users of spectrum allocation)

利用Matlab/Simulink实现基于准比例谐振控制电压的逆变器(Inverter based on quasi-proportional resonance control voltage using Matlab/Simulink)

说明：  基于matlab的遗忘因子最小二乘递推算法辨识程序(Matlab-based forgetting factor RLS identification procedures)

In computer science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. PSO optimizes a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle s position and velocity. Each particle s movement is influenced by its local best known position and is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.

分析粒子群算法在求解组合优化问题中的运行原理并与遗传算法和 改进的粒子群算法仿真比较． 结果表明 混合优化算法在收敛速度和精度上均有明显的提高(Ｔｈｅ 　 ｍｅｃｈａｎｉｓｍ 　 ｏｆ 　 ｐ ａｒｔｉｃｌｅ 　 ｓｗａｒｍ 　 ｏ ｐ ｔｉｍｉｚａｔｉｏｎ ＰＳＯ ｉｎ 　 ｓｏｌｖｉｎ ｇ 　 ｃｏｍｂｉｎａｔｏｒｉａｌ 　 ｏ ｐ ｔｉｍｉｚａｔｉｏｎ ｐ ｒｏｂｌｅｍｓ 　 ｗａｓ 　 ａｎａｌ ｙ ｚｅｄ．Ｓｉｍｕｌａｔｉｏｎｓ 　 ｃｏｍ ｐ ａｒｉｓｏｎ ｗｉｔｈ 　 ＧＡ 　 ａｎｄ 　 ｉｍ ｐ ｒｏｖｅｄ 　 ＰＳＯ 　 ｓｈｏｗｓ 　 ｔｈａｔ 　 ｔｈｅ 　 ｈ ｙ ｂｒｉｄ 　 ｏ ｐ ｔｉｍｉｚａｔｉｏｎ 　 ａｌ ｇ ｏｒｉｔｈｍ 　 ｈａｓ 　 ｏｂｖｉｏｕｓ 　 ｉｍ ｐ ｒｏｖｅｍｅｎｔｓ 　 ｉｎ ｃｏｎｖｅｒ ｇ ｅｎｃｅ 　 ｓ ｐ ｅｅｄ 　 ａｎｄ 　 ａｃｃｕｒａｃ ｙ)

在盲辨识系统中，非常关键的是如何获得最好的辨识效果，这里采用了多种方法，通过系统建模，并比较方法(In blind identification system is critical to identify how to get the best effect, this uses a variety of ways, through system modeling, and comparison)