exp5

This project compares the performance of SOM versus LVQ in classification problems. Given two data sets: ‘iris.dat’ has 150 patterns of 3 classes with 4 features. ‘wine.dat’ has 178 patterns of 3 classes with 13 features. For SOM, use its algorithm (not use MATLAB tool), but for LVQ use MATLAB tool.

Dear Sir this file describe and analyse the wind turbine so it is a new approach model

采用支持向量机对水天线进行检测和标记。效果还不错喔。(The water antenna is detected and marked by support vector machine.)

机器人的PD加前馈控制，在MATLAB的m文件中编程实现(robot PD increase feedforward control, in MATLAB m document Programming)

基于辅助最小二乘算法的输出误差模型未知参数的辨识程序(AM_RLS.m for the output error models)

基于keystone算法的距离迁徙校正，用于SAR成像中插值运算(Migration distance keystone correction algorithm for SAR imaging interpolation)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

矩形同轴线的电磁场仿真matlab程序 Rectangular coaxial(Rectangular coaxial matlab)

802.15.4仿真IEEE802_15_4_Matlab-master

一种关于矢量控制的仿真，和大家一起研究啊(With regard to the simulation of a vector control, and we study together ah)