EEMDSpectralAnalysis

LFSR First Period Implementation by matlab in cryptography

integer-n pll linear matlab model

Example: Modeling an Inverted Pendulum in Simulink

雷达影像后向散射系数计算,并绘制后向散射系数图(backscattering coefficients of Radar image, show the figure of backscatter coefficients)

模拟FM信号的解调子程序，包括下变频、A/D采样、正交解调，最后输出基带信号。(Subroutine analog FM demodulation signal, comprising down-conversion, A/D sampling, orthogonal demodulation, and finally outputs a baseband signal.)

基于OWTS系统的电力电缆介质损耗正切角检测，能够方便快速的对电力电缆进行检测。(Based OWTS system power cable dielectric loss tangent detection, able to facilitate the rapid detection of the power cable.)

说明：  数据挖掘算法，support vector machine算法源代码，用于分类(data mining algorithms, support vector machine algorithm source code for classification)

OFDM的simulink仿真，最后显示了输入输出波形和符号误差率(OFDM simulink simulation. Finally, the input and output waveforms to facilitate comparison and shows the symbol error rate)

image processing matlab

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)