TaomauVahoc

说明：  利用神经网络训练，对EEG数据进行预测，还有分类(The neural network training, prediction of the EEG data, there are categories)

auto correlation by matlap

识别视频中特定颜色的圆，在图像上标记，并作出路径(Identify the circles of a particular color in the video, mark them on the image, and make the ways out)

Its about cryptography example. useful for chatting with some sort of security

基于内容的图像识别-支持向量机方法-8分类(Content-based image recognition- classification of support vector machines-8)

Main matlab applications of how to use basic operations

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with selection diversity

wimax simulink. perfect reference. (wimax system simulink. )

支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)

Algorithm Collections for Digital Signal Processing Applications using Matlab - E.S. Gopi