资源列表
code-cuoi-cung
- compare zero forcing , MMSE , dirty paper coding and THP in MU-MIMO
nhap-code-DPC-THP
- DIRTY PAPER CODING AND TOMLINSON HARASHIMA PRECODING IN mu-mimo
project-417-2011
- Zero forcing precoding in MU-MIMO
so-sanh-iri
- CHANNEL INVERSION AND REGULAR CHANNEL INVERSION PRECODING IN Mu- mimo
code-cua-phong
- MATLAB CODE FOR BEM
code-thay-hunng
- matlab code for modulator and demodulator M-QAM
jisuanqi
- 用C语言编写的万能计算器，加减乘除，正玄余弦-Universal Calculator using C language, addition, subtraction, sine cosine, etc.
Opposition-based-Stud-Genet
- 为进一步提高螺栓遗传算法的优化效率，加速寻优过程，提出基于对立策略的螺栓遗传算法。该算法在种群初始化阶段和变异阶段均用对立取代随机方式，提高产生解的质量。利用测试函数对算法的效率进行检验，将其与差分算法、遗传算法、粒子群算法和螺栓遗传算法进行对比，结果表明，新算法具有更快的收敛速度和更高的求解精度。-In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence s
Ant-Colony-Algorithm-Based
- 提出一种基于启发式变异的蚁群算法，结合传统蚁群算法和遗传变异算法的优点，利用蚁群算法找到一条全局近优解，采用启发式变异进行路径优化，并将优化信息以信息素的方式传递给下一代，从而快速得到全局最优解-】This paper proposes an Ant Colony Algorithm based on Heuristic Mutation(ACAHM), combining with the advantage of the traditionalAnt Colony Algorithm(ACA
A-Modified-Artificial-Fish
- 本文采用了自适应调制参数的方式对算法进行了改进，并用6个测试函数，结果表明，改进后的算法效果优异-In this paper, an adaptive AFSA algorithm is presented by adjusting the parameter automatically in basic AFSA. Six benchmark functions are used to check the performance of the new method. It shows th
Niche-artificial-fish-swarm-alg
- 提出了一种基于生境人工鱼群算法的多峰问题优化算法．该算法融合了模拟退火、小生境技术的思想，并加入了变异算子和自动生成合适小生境半径机制-Since it is difficult to find all the optima when artificial fish SWalTn algorithm(AFSA)is used in multimodal optimization．a niche artificial fish swalTn algorithm(NAFSA)based on b
Development-on-ant-colony-algorithm
- ．针对蚁群算法，首先介绍其基本原理；然后讨论了近年来对蚁群算法的若干改进以及在许多新领域中的发展应用；最后评述了蚁群算法未来的研究方向和主要研究内容．-Firstly，the basic principle of ant colony algorithm is introduced．Then．a series of schemes on improving the ant colony algorithm are discussed，and the new applications are