VC_Matlab_MultiThread_Demo_2009_07_03

合成地震记录，MATALB程序，包括合成记录，求反子波，反滤波，求反射系数(Synthetic seismograms, MATALB procedures, including synthetic records, seeking anti-sub-wave, anti filter, find the reflection coefficient)

禁忌搜索算法解决0/1整数规划NP难问题(Tabu Search Algorithm for 0/1 integer programming problem NP hard)

说明：  VISUAL C++与MATLAB 混合编程及接口调用，麻烦给我早点开通，(VISUAL C and Matlab interface and called for the trouble I opened earlier, thank you)

kalman滤波方面的书籍，是一本经典的书籍。详细讲述了各种方法及组合滤波方法(kalman filter books, is a classic book. Detail the various methods and composition of the filter)

本文是music算法的一种改进，其具有更好的性能，以及能够满足大多数用户的需求，希望会给大家带来方便(This article is a modified music algorithm, which has better performance, and the ability to meet the needs of most users, I hope we will bring convenience)

仅供学习研究使用。对仿真主要特性、建模机制及仿真步骤进行了深入阐述，最后给出了在预测网络性能方面的一个应用实例。(For study and research use. The main characteristics, modeling and Simulation of mechanism and the simulation steps in detail, finally, an application example in the prediction of network performance.)

将指定文件类型进行转换，从而满足MATLAB等不同软件的快速输入要求(To convert the specified file type to meet different MATLAB software for fast input requirements)

说明：  不带像素操作的机器视觉代码-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information(Without pixel machine vision operation code-The brain transforms and discards pixels. The transformation is a smoothing and differencing filter. The output of an individual filter is ambiguous.The output of 5 filters lets us find edges and corners. A small number of filters covers the entire image. This method is fast and discards irrelevant information)

遗传算法的详细仿真程序（matlab),算法详细介绍了遗传算法的功能和主要实现原理。难得的源码程序。(Genetic algorithms detailed simulation program (matlab), algorithm described in detail the function of genetic algorithm and the main achievement of the principle. Rare source procedures.)

深度典型相关性分析，在线性的CCA上增加了深度网络，以此来学习新特征并提高多模态数据之间相关性( Deep cca ,the deep network is added in linear CCA to learning description that the correlation is better between multi-modal datas)