Kmeans

压缩感知的信号恢复算法集合，包括ISD_v1.1，l1magic-1.1和sparsify_0_5(Compressed sensing signal recovery algorithms collections, including ISD_v1.1, l1magic-1.1 and sparsify_0_5)

AUTOMATIC SPEAKER RECOGNIZATION AND IDENTIFICATION USING GMM.HERE READ SIGNALS FROM EAR PHONES

自己编制的倒立摆matlab7的程序，采用神经网络控制方法(Prepared their own inverted pendulum matlab7 procedures, the use of neural network control method)

超混沌,用于显示各种经典的超混沌系统的方程及其混沌吸引子 非常好 可以直接使用(hyper-chaos)

Content aware image downsampling appears in Seam Carving for Content-Aware Image Resizing

A feature selection based framework for human activity recognition using wearable multimodal sensors

Obtain the stress in beam

(不错的一篇文章，已被EI收录)模型预测控制（model predictive control，MPC）路径规划算法适用于三维动态环境下的无人机（un-manned aerial vehicle，UAV）路径规划；动态贝叶斯网络（dynamic Bayesian network，DBN）能够有效推理战场态势，对无人机进行威胁评估。针对威胁尾随无人机时的路径规划问题，构建 DBN 威胁评估模型，将 UAV 在战场环境中的威胁态势用威胁等级概率表示，与 MPC 路径规划算法相结合，得到基于 DBN 威胁评估的 MPC UAV 路径规划算法。通过多组仿真分析表明，在三维动态环境下，特别是威胁尾随无人机时，基于 DBN 威胁评估的 MPC无人机路径规划算法可以得到有效的无人机路径。(The model predictive control (MPC)path planning algorithm can solve the problem of dynamic unmanned aerial vehicle (UAV)path planning.Dynamic Bayesian network (DBN)is an effective tool for rea-soning and threat assessment.Considering the problem of path planning when the dynamic threat tags the UAV,the MPC path planning algorithm combined with DBN threat assessment is presented,which used the threat lever probability to describe the threat situation.A group of simulations demonstrate the efficiency of MPC three-dimensional dynamic path planning algorithm for UAV based on DBN threat assessment especially when the dynamic threat tags the UAV.)

在matlab中bayes和Fisher分类器设计的小程序代码，实现垃圾邮件和正常邮件的分离，比较不同维度，不同样本，两种分类器正确率的优劣，适合初学者学习(In matlab the bayes and Fisher classifier design a small program code, junk mail and regular mail to achieve the separation of comparing different dimensions, different samples, the correct classification rate of both the pros and cons, suitable for beginners to learn)

GM（1,1）模型，简单的一组数据处理，可计算均差等等(GM (1,1) model, a set of data processing can be calculated are poor, etc. )