pp波和ps波反射系数 pp-ps-wave

guard interval wireless communication in matlab simulations

综合使用EViews（统计软件）与Matlab实现广义自回归条件异方差模型(GARCH)的模拟、估计与预测(Integrated use EViews (statistical software) and Matlab achieve generalized autoregressive conditional heteroskedasticity model simulations, estimates and projections)

matlab仿真出圆孔的夫琅禾费衍射，其中有四副图，原图，二维衍射图样，函数图象和三维衍射图样(matlab simulation of a hole in the Fraunhofer diffraction, which has four maps, original, two-dimensional diffraction patterns, functions, images and three-dimensional diffraction pattern)

一种改进的果蝇算法，文件中包含matlab实现代码和算法说明(an improved FOA, in the file, the demo develped by MATLAB and the produre of lgms-foa is obtained)

Matlab中用GUI设计一简单计算器。(err)

MATLAB科学计算与工程分析源代码源程序7(MATLAB scientific computing and engineering analysis of the source code source 7)

matlab 关于股票单项指标滚动预测神经网络源代码。大家可以根据自己的回归预测问题，进行改写，。只用于研究ELMAN神经网络的一般使用，不适合用于投资分析，误差较大，切忌。切忌。(a code of Elman netural network about predicating the stocks price.. it is free and easy..)

利用周期稳态响应的谐波分析法求解电路的周期稳态响应(The use of periodic steady-state response of harmonic analysis method for solving the circuit the cycle of steady-state response)

简单的matlab算法，很经典，用于波束形成，主要是MIMO雷达 (Simple matlab algorithm, very classic, for beamforming, MIMO radar)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。 accyouhua为标定值的函数，而lingjian不是一个函数，在其中已给出了一组标定值的值。 退火确定标定值/unitanneal()----模拟退火 连续型多个变量组合优化问题 这是对模拟退火方法的一次练习，结果证明模拟退火确实是一个行之有效的方法。 当参数选择较好时（一般也伴随着运行时间的加长），模拟退火的结果较好，然而用MATLAB的FMIMCON()一般可达到更高的精度。(lingjian.m---- Monte Carlo method. 氀椀渀最樀椀愀渀.m Part initial value, using the Monte Carlo method to calculate the total cost. The preparation of their own normal distribution random number generator to generate normally distributed random numbers. lingjian.m is the first practice of the Monte Carlo method. accyouhua calibration value the function lingjian not a function, which gives the value of a set of calibration values. Annealing to determine the calibrated value/unitanneal ()---- Simulated Annealing 吀栀攀 continuous multiple variables combinatorial optimization problems 吀栀椀猀 is an exercise of the simulated annealing method, the results show that the simulated annealing is an effective method. 圀栀攀渀 the parameter selection is better (generally accompanied by a longer running time), simulated annealing results, however using MATLAB FMIMCON () generally achieve higher accuracy.)