Chapter2

说明：  《数字图像处理与机器视觉:Visual C++与Matlab实现》4 特征提取,图像识别初步,人工神经网络,基于ANN的数字字符识别系统(&quot Digital image processing and machine vision: Visual C++ and Matlab to achieve&quot four feature extraction, image recognition initially, artificial neural network, ANN based digital character recognition system)

代码为QPSK半分析方法计算误码率，下载后直接运行就行了(code for QPSK semi-analytic method BER, downloaded directly running on the line)

提取图像的SPAM686维特征，可以用SVM来进行隐写分析(Extract images SPAM686 dimensional feature, you can use SVM to steganalysis)

simulator of STO estimation in OFDM sysmtem

遗传优化算法优化权值与阈值，视神经网络训练次数减少(Genetic optimization algorithm to optimize the weights and threshold, optic nerve network fewer training )

最近搞设计弄来的一些资料 大家一起参考 基于matlab伪随机序列产生(engage recently obtained some design information together reference Matlab-based pseudo-random sequence generation)

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

simulation of communication systems and software defined radio from the book chapter 2

Guitar Signal using matlab

介绍OFDM信号的基本特征 4qam编码原理及实现(OFDM qam)