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1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (MATLAB)

OFDM信道仿真，自己弄的，觉得比较不错，大家参考参考(OFDM channel simulation, get their own, and felt quite good, we refer to the reference)

Numerical Maths Using Matlab matlab学习资料，英文版 基于matlab的数值方法：曲线拟合、数值优化……(Numerical Maths Using Matlab matlab learning materials, the English version is based on the numerical analysis matlab)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

wireless lans simulation

matlab 压缩包文件,基于时频分析的isar回波处理历程,基于时频分析的多分量现形调频信号处理- (matlab compressed package file, based on time-frequency analysis isar the echo processing history, based on time-frequency analysis of multi-component betray oneself FM signal processing-)

OFDM signal generation using MATLAB. Input to the function are Alphabet size, cyclic prefix length, and number of active subcarriers and total subcarriers

两束相干光的干涉强度和干涉条纹,干涉条纹用图像指令image绘制(Interference of two beams of coherent light intensity and interference fringes)

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 lingjian.m part the initial value, using the Monte Carlo method to calculate the total cost. The use of the preparation of their own normal distribution random number generator to produce a normal distribution of random numbers. lingjian.m yes to the first practice of the Monte Carlo method. accyouhua calibration function, and lingjian is not a function, which has given the value of a set of calibration values​ ​ . Annealing to determine the calibration value/unitanneal ()---- Simulated Annealing Combinatorial optimization problem of continuous multiple variables This is a practice of simulated annealing method, the results show that simulated annealing is an effective method. Parameter selection is better (usually accompanied by longer running time) the results of simulated annealing, however the MATLAB FMIMCON () generally achieve higher accuracy. )

说明：  基于一次简单移动平均的时间序列预测算法，取值可随机修改(Based on a simple moving average time series prediction algorithm, the value can be randomly modified)