MATLABNeuralNetwork_2010_P286

该书是关于matlab与通信的一个结合，适合对matlab有一定基础的人，有详细的讲解，实例还有很多代码解说、分析。(The book is about matlab and communication of a combination, suitable for a certain foundation of matlab, a detailed explanation, examples and a lot of code interpretation and analysis.)

digital signal processing

空间谱估计之mnm算法 此算法是music算法的改进算法(Spatial spectrum estimation of the mnm algorithm This algorithm is the music algorithm improved algorithm)

单频信号的MUSIC算法，波达方向估计DOA(MUSIC algorithm for single-frequency signal)

2013年“高社杯”数学建模b题，对于纵向切割的图片复原。 使用方法：打开matlab，调整工作目录为解压后的文件夹，在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)

《matlab/simulink 通信系统建模与仿真》一书所有源代码以及模块，希望对初学者有所帮助("Matlab/simulink communications system modeling and simulation," a book all the source code and modules, I hope to help beginners)

包括主成分分析、因子分析、贝叶斯分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，是机器学习的例程，基于chebyshev的水声信号分析，在MATLAB中求图像纹理特征，阐述了负荷预测的应用研究,是学习PCA特征提取的很好的学习资料，使用混沌与分形分析的例程。( Including principal component analysis, factor analysis, Bayesian analysis, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Machine learning routines, Based chebyshev underwater acoustic signal analysis, In the MATLAB image texture feature, It describes the application of load forecasting, Is a good learning materials to learn PCA feature extraction, Use Chaos and fractal analysis routines.)

MATLAB中应用RBF神经网络对模式识别处理(MATLAB Application of RBF neural networks for pattern recognition processing)

说明：  此函数实现对自适应波束图的极化，这样更加方便地在极化图中看到波束图的期望方向和干扰方向(This function implementation of adaptive beamforming polarization map, so that makes it easier to see in the picture at the polarization beam map the direction and interfere with the expectations of the direction of)

this is the implementation of introduced algorithm(feature selection algorithm for mixed data with both nominal and continuous features,Wenyin Tang & K.Z. Mao)