cell-simulation

智能天线的matlab程序，程序较多，非常好用(smart antenna )

说明：   倒立摆系统是研究控制理论的实验平台，它的行为与火箭飞行以及两足机器人行走有很大相似性，因而对其研究具有重大的理论和实践意义，一直是控制界关注的焦点。以直线单级倒立摆作为研究对象，采用最优控制策略实现对其平衡控制，进行仿真实验设计。(Inverted pendulum control theory is to study the experimental platform, its behavior and the rocket s flight and walking biped robot is very similar, and thus their study is of great theoretical and practical significance, has been the focus of attention control. Inverted Pendulum on a straight line as the object of study, the optimal control strategy to achieve their balance control, a simulation design)

MIMO系统各态历经信道容量的分析与仿真(Ergodic MIMO system channel capacity analysis and simulation)

Energy Detection Simulation

算术编码的程序,是一种经典的程序，可以作为一个函数来使用。(Arithmetic coding procedures, is a classic program that can be used as a function.)

高通滤波器，用于对信号中高频噪声的滤除 同时还包含哈弗曼编码的一些基本源程序(high pass filter)

大规模MIMO中，有关于能效的相关文章 (MASSIVE mimo energy efficiency )

closed loop control of flyback converter

isotopic linear non-dispersive material grid size and time size is designated directly electic field nomalized PML for all three directions fdtd 3d with drude model TF/SF wave analysis incorperating electric conductivity and magnetic conductivity there is Gaussian and sine wave two choices incorporating the Drude mode

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)