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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。(Monte Carlo method lingjian.m----- using parts lingjian.m initial value, using the Monte Carlo method to calculate the total cost. Using its own random number produced by the normal distribution normal distribution random number generator. lingjian.m Monte Carlo method is a practice.)

遗传算法工具箱,可以直接调用该工具箱对各种神经网络进行优化处理，方便快捷(Genetic Algorithm Toolbox, you can directly call the toolbox of various neural network optimization, convenient and quick)

wiax preamble and frequency offset estimation

MATLAB扩展编程DTW算法程序，需要自己录制语音(MATLAB Extended Programming DTW algorithm program needs its own voice recording)

Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象(Markov random sample program, for the beginner who MRF useful to get an intuitive impression)

改变图像的灰度级数，通过输入的数值确定灰度级(change degree of gray )

基于虚拟现实工具箱创建的仿人机器人平台，在该平台上结合matlab仿真工具箱可以进行机器人的控制研究。(Virtual Reality Toolbox to create a humanoid robot platform, the platform can be combined with matlab simulation toolbox robot control.)

Matlab simulation for drawing the BER plot of the LTE turbo code, using either the BCJR algorithm or the fully-parallel algorithm. Copyright (C) 2013 Robert G. Maunder The simulation can be started by running the main.m script. This can be modified to either the BCJR algorithm or the fully-parallel algorithm, as well as to the frame length N. As the simulation proceeds, it will gradually plot the BER that can be achieved using various number of decoding iterations, as selected in main.m. A greater number of decoding iterations will give a lower BER. The script main.m can also be modified to make the BER plots smoother and reach lower BERs, at the cost of making the simulation run slower.

it is an ofdm simulation in simulink 2009b

automatic generation control