mielou_v58

均匀线阵的MUSIC算法MATLAB仿真 需要的下载共享哦(ULA MATLAB simulation of the MUSIC algorithm needs to download shared Oh)

本人的模糊控制课堂作业，基于Sugeno（TSK）推理的模糊控制器(Fuzzy control of my class assignments, based on Sugeno (TSK) inference of the fuzzy controller)

Video Game Theory to develop game

小波变换和用小波变换做的滤波器的Matlab源代码。(Wavelet transform and the wavelet filter Matlab source code.)

Newton interpolation method to calculate the fitting of discrete points

各种用于图像融合的算法 比如PCNN，IHS变换，HMMALL等 适合于初学者 (all kings of methords which used of picture fusion)

本程序已被本人整理到WORD文档中，编程语言为MATLAB，本文设计的滤波器采用傅里叶级数展开法。模拟的杂波的功率谱密度采用BVURG法，概率密度函数的估计采用直方图估计法，设计参数皆在文档中表明。此程序已经验证是正确可执行的，并能生成图形，值得下载！(This program has been organized into WORD document I, the programming language MATLAB, the filter designed in this paper Fourier series expansion method. Simulated clutter power spectral density using BVURG method, the probability density function is estimated using histogram estimation methods, design parameters are indicated in the document. This procedure has been verified is correct executable, and can generate the graph, it is worth to download!)

matlab离散信号时域分析，和频域分析实例，适合基础者使用。（来源课堂个人实验）(Matlab discrete time-domain signal analysis and frequency domain analysis of the examples, the use of suitable infrastructure. (Source individual classroom experiment))

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

在不同的频率偏移的情况下技术ICI自消除误差仿真(ICI self cancellation error simulation in different frequency offset case technology)