NaiveBayes

有关matalab方面的仿真文献，希望大家有好的东西都能够共享！(Matalab aspects related to the simulation literature, I hope everyone has good things to share!)

wimax的培训说明.希望能对各位有帮助!(wimax training description. hope you can help!)

AI snake challenge. Create your decision function and fight to your friends.

very good files for matlab beginners very good file in different fields

用于时间序列的去噪以及预测，基于独立成分分析的最小二乘时间序列方法。(Noising for time series and forecasting, time series least squares method based on independent component analysis.)

sep and leach routing protocols in wireless sensor networks is a typical routing protocol

遗传算法的程序实现，已编成软件了，Delphi语言编写的(Genetic algorithm program, compiled software, Delphi languages)

interpration of events

通过恢复低秩矩阵得到显著性图，其中详细的运用了mean-shift算法，可以很好的了解mean-shift算法的使用，同时还包含了RPCA算法。(Significantly through the recovery of low rank matrix diagram, which detailed the use of mean-shift algorithm, can be a very good understanding of the use of the mean-shift algorithm, also contains RPCA algorithm.)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.