robustica_package_v2

经本人修改，利用matlab编程可以实现16QAM的MIMO-OFDM系统，并有图为证。(After I modified matlab programming can be achieved using the MIMO-OFDM system, 16QAM, and photo cards.)

说明：  ARMA预测程序源代码，经二阶差分后对油价进行预测的实例。(a program to predict the price of oil， using ARMA module)

说明：  针对电路故障的诊断提出了一种基于遗传算法的方法，将遗传算法与MATLAB结合实现了电路故障诊断。(For the proposed circuit fault diagnosis method based on genetic algorithm, genetic algorithm combined with the MATLAB implementation of the circuit fault diagnosis.)

LTE标准下，当要进行Turbo编码的数据长度大于6100，先进行分块，分块后再一块一块进行编码(LTE standard, when the Turbo coded data to be longer than the 6100, first block, block encoded and then a piece of)

动态PCA方法，引入动态时间l，考虑变量本身的时序自相关性，同时还分析变量之间的时序相关性,把PCA方法应用到动态数据矩阵。 (Dynamic PCA method, introducing dynamic time l, consider the timing of the variable itself autocorrelation, also analyzed the correlation between the timing variables, the PCA method is applied to dynamic data matrix.)

The LASIP routines for Multiframe Blind Deconvolution are used for restoration of an image from its multiple blurred and noisy observations.

自己写的混合遗传算法模板匹配程序，实现功能良好(temple match)

一个统计语言识别系统一般采用移自动语言识别三角洲系数（议会）功能。学童牙科保健服务堆叠比例系数的几帧三角洲的版本。 南区区议会及其应用的详细描述可在西医坎贝尔先生，J.P.坎贝尔，D.A.雷诺，大肠杆菌歌手，年息托雷斯- Carrasquillo，扬声器和语言识别，计算机语音和语言，第20卷，问题2-3，奥德赛2004支持向量机：演讲者与语言识别工作坊 -奥德赛- 04，四月至2006年7月，页210-229。 此代码是一个快速实现移三角洲系数（在MATLAB）。( A statistical language recognition system generally uses shifted delta coefficient (SDC) feature for automatic language recognition. SDCs are stacked version of delta cofficient over several frames. The detail descriptions of SDC and its applications are available in W.M. Campbell, J.P. Campbell, D.A. Reynolds, E. Singer, P.A. Torres-Carrasquillo, Support vector machines for speaker and language recognition, Computer Speech & Language, Volume 20, Issues 2-3, Odyssey 2004: The speaker and Language Recognition Workshop- Odyssey-04, April-July 2006, Pages 210-229. This code is a fast implementation (in MATLAB) of Shifted Delta Coefficient.)

This Matlab source code is for paper ATTEMPT for wireless sensor networks.

this is canny edge detector to capture the edge of the imge.it is a good feature descriptor