Monte_Carlo_Simulation_with_Simulink

谱线增强器的代码，里面包含最陡下降法的实现，是华中科技大学出版的现代数字信号处理课后题3.16的答案，对理解谱线增强器和最陡下降法的实现有很大帮助。(Line enhancer code, which contains the implementation of the steepest descent method, is published by the Huazhong University of Science after-school modern digital signal processing, the answer to question 3.16, to understand the line enhancer and the implementation of the steepest descent of great help .)

matlab simulink model reciver

可以通过matlaB来进行仿真，得到很好地迭代控制的效果，开环和闭环的迭代控制算法的仿真(Can by matlaB to simulation, iterative control effect, the open-loop and closed-loop iterative control algorithm simulation)

matlab编写的图像边缘直方图提取程序，最后结果包含了归一化边缘梯度直方图（矩阵第-行），相应量化区间均值（矩阵第二行），相应量化区间均方差（第三行），具体见从程序，有注释(write histogram matlab image edge extraction procedures, the final result contains a normalized edge gradient histogram (Matrix- line), corresponding quantization interval mean (matrix second row), corresponding quantization interval mean square error (third row), see in particular from the program, there is a comment)

MATLAB code for back propogation neural networks

研究盲信号的盲分离原仿真程序，其中有一个是应用ICA的(Of blind signal separation from the original simulation program, one of which is the application of ICA,)

The Netlab toolbox is designed to provide the central tools necessary for the simulation of theoretically well founded neural network algorithms and related models for use in teaching, research and applications development. It contains many techniques which are not yet available in standard neural network simulation packages(The toolbox is designed to provide t he central tools necessary for the simulation o f theoretically well founded neural network al gorithms and related models for use in teaching , research and applications development. It c ontains many techniques which are not yet avail able in standard neural network simulation pac kages)

自适应陷波器的仿真程序,初级入门的matlab仿真程序(Adaptive Notch Filter Simulation procedures, the initial entry of matlab simulation program)

说明：  bp训练PID系数，《先进pid及MATLAB仿真》修改实现(bp training PID coefficients, pid advanced and MATLAB simulation, modified to achieve)

Code source for gaussian plotting