MeanShift

LTE系统链路级仿真,维也纳大学的几位牛人编写，内有使用说明和源码(LTE_link_levek simulation)

此程序是LMFnlsq2.rar主程序调用的一个函数，此函数不可或缺，需要联合使用。(This program is LMFnlsq2. Rar main program calls a function, this function is indispensable, need to use.)

MVDR VS MUSIC algorithm

使用matlab计算输入信号的卷积快速卷积，对卷积的原理进行说明(conv)

matlab code for DFE which id for ISI equaliser

基于MATLAB的非坚持型CSMA的算法仿真，分析业务量和吞吐量的关系，计算业务量对延时个数的影响。(The algorithm simulation of non stick CSMA based on MATLAB is analyzed, and the relationship between traffic and throughput is analyzed, and the influence of traffic on the number of delay is calculated.)

AdaBoost, short for Adaptive Boosting, is a machine learning algorithm, formulated by Yoav Freund and Robert Schapire. It is a meta-algorithm, and can be used in conjunction with many other learning algorithms to improve their performance.

also sometimes called PRK, phase reversal keying, or 2PSK) is the simplest form of phase shift keying (PSK). It uses two phases which are separated by 180° and so can also be termed 2-PSK.

基于负熵的盲源分离源程序,对盲源分离领域属于最基本的程序(BSS based on negentropy)

摘　要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver- gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis- ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)