ROC

维纳滤波仿真 ，经滤波后的各个模型 ARRA MA等模型(Wiener filter simulation, all through the filter model ARRA MA other model)

输入自己事先录制好的语音信号，该程序实现将语音信号通过FIR低通、高通、带通滤波器后还原出来的语音质量(Enter their own pre-recorded speech signal, the program will realize voice signal through the FIR low-pass, high pass, band-pass filter to restore them after the voice quality)

matlab应用程序源代码实例，包括多个应用方向，1-32是：图形应用篇33-66是：界面设计篇67-84是：图形处理篇85-100是：数值分析篇(matlab source code examples of applications, including the direction of multiple applications, 1-32 is: graphics application papers 33-66 are: interface design articles 67-84 is: graphics processing chapter 85-100 is: Numerical Analysis Section)

实现二维傅里叶变换，并用几种基本函数进行了测试(To realize two-dimensional Fourier transform, and has been tested with several basic functions)

半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)

quadrature phase shift keying full system simulink model

用模糊神经网络逼近二维非线性函数，Matlab文件，附有说明文件。(Using fuzzy neural network approximation of two-dimensional nonlinear function, Matlab files, accompanied by documentation.)

Matlab 6.X辅助小波分析与应用一书配套代码:Matlab 6.X辅助小波分析与应用(Matlab 6.X assisted with the application of wavelet analysis of a book supporting code : Matlab 6.X assisted with the application of wavelet analysis)

erpPCA可用于特征提取，是对pca的优化(erpPCA can be used for feature extraction, is to optimize the pca)

随机权重法改进粒子群优化算法， 更换目标函数后使用(Random weight method to improve particle swarm optimization algorithm, the objective function after the use of replacement)