bozcuoglu_hw3

This code contains MATLAB code to automatically create a wireless network

信号被窗函数截断，并做频谱分析，比较汉宁窗、三角窗等的特点(Window function signal is cut off, and do spectral analysis, comparing Hanning, triangular windows and other characteristics)

adaboost算法的一个简要编程,对于训练算法能有一个很好的初步指导作用(AdaBoost algorithm is a brief program for the training algorithm can have a good initial guide)

Power system load flow analysis using NR Power Flow method

单服务台排队系统，使用matlab语言，利用事件步长法，实现的一种离散事件系统(Single-server queuing system)

Spectrum analysis of sound signal

说明：  SVM用于模式识别 整理别人的代码（原来的是英文）所得： kernel.m用于内积矩阵的计算 svcplot.m用于绘图 svm168.m是主程序 testlin.m是采用线形内积函数的支持向量机应用的 文件 testrbf.m是采用RBF内积函数的支持向量机应用 的 文件 每个文件中都有说明。 仿真平台matlab7.0, 仿真全部通过 将所有文件拷贝到work目录下（注意不要直接将上层文件夹直接拷贝到work目录下，若那样操作，必须在matlab的file菜单中的set path中设置相应的路径）。 打开matlab，在命令窗口中输入 testlin或testrbf 即可查看结果。 (SVM pattern recognition for collating other people's code (the original is in English) from : kernel.m plot within the matrix for the calculation svcplot.m for graphics is the main svm168.m testlin.m procedure is used linear plot function within the SVM application documents testrbf.m RBF is using plot function within the SVM applications each file documents were described. Matlab7.0 simulation platform, all through the simulation of all the documents copied to the work directory (not directly to the attention of the upper folder directly copied to w contex directory, as if the operation, Matlab in the file menu on the set path corresponding set the path). Open Matlab, in the command window or imported testlin testrbf can see the results.)

基于matlab工具箱中的离散Hopfield神经网络的分类问题-高校科研能力评价(Matlab toolbox based on the discrete Hopfield neural network classification problems- Evaluation of Scientific Research)

光纤陀螺的四位置寻北方案 通过文章展现四位置的仿真(The four position of the fiber optic gyroscope north-seeking program through the article to show the four position of the simulation)

快速eemd算法，收敛速度与传统eemd相比有很大改进(EMD is a nonlinear and nonstationary time domain decomposition method. It is an adaptive, data-driven algorithm that decomposes a time series into multiple empirical modes, known as intrinsic mode functions (IMFs).)