Context-in-Object-Detection

采用映射法降低ofdm系统分均比的matlab仿真程序(Ofdm systems using sub-mapping method to reduce the matlab simulation program than)

利用投资者情绪指标预判下个月的股指走势，如果指标较高则做多，反之则做空(The use of investor sentiment indicators to predict stock trends next month, if the indicator is to do more higher, and vice versa short)

基于均匀圆阵的方位角和俯仰角联合估计，采用MUSIC算法和MNM算法估计(Based on Uniform Circular Array azimuth and pitch angle of the joint estimation using MUSIC algorithm and MNM algorithm estimates)

fuzzy preference rough set based feature evaluation and selection

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

RBF神经网络的源程序，经过大量的测试，输入层、隐含层、输出层。(RBF neural network source code, after a lot of testing, the input layer, hidden layer and output layer.)

inverse-dual tree complex wavelet transform (i-dtcwt) matlab codes

training a neural networks using error back propagation algorithm

matlab开发工具箱中的支持向量机，小波包分析提取振动信号中的特征频率，主同步信号PSS在时域上的相关仿真。( matlab development toolbox support vector machine, Wavelet packet analysis to extract vibration signal characteristic frequency, PSS primary synchronization signal in the time domain simulation related.)

matlab simulnik NAkagami仿真代码(matlab NAkagam simulnik)