matlab

LBM 初学者的资料，模拟的各个部分都有很详细的分析(this is the materials for the freshman of LBM study,it is good tool)

潮流计算程序，初始值使用高斯赛德尔法迭代所得，具有很高的精度和求解效率。(Flow calculation procedures, the initial value of iteration proceeds using high Sisaideer method with high accuracy and solution efficiency.)

STL（Standard Template Library），即标准模板库，是一个具有工业强度的，高效的C++程序库。它被容纳于C++标准程序库（C++ Standard Library）中，是ANSI/ISO C++标准中最新的也是极具革命性的一部分。该库包含了诸多在计算机科学领域里所常用的基本数据结构和基本算法。为广大C++程序员们提供了一个可扩展的应用框架，高度体现了软件的可复用性。 (STL (Standard Template Library), which is a standard template library, with industrial strength, efficient C++ library. It is contained in the C++ standard library (C++ Standard Library), ANSI/ISO C++ standard is the latest in is also very part of a revolutionary. The library contains many in Computer Science in the field of common basic data structures and basic algorithms. Provides an extensible application framework for the majority of C++ programmers, highly reflects the software reusability.)

估计过来看的精神分裂国家结果看来是大方监管机构 股市大幅交给若结果是劳动纠纷(Estimates of schizophrenic country come to see the results of regulatory agencies appear to be generous to the stock market if the result is a significant labor disputes)

matlab c++ 联合编程简单示例，具体过程可以参照我的blog：http://blog.csdn.net/owldestiny/archive/2009/03/07/3966340.aspx(matlab c++ United programming easy example, the specific process can refer to my blog: http://blog.csdn.net/owldestiny/archive/2009/03/07/3966340.aspx)

去处干涉条纹最有效的频域消除法，非常实用，效果极佳。(supress grid by frequency domain, very practical with high efficency)

THIS IS THE MATLAB CODE FOR PTS TO REDUCE PAPR

本代码提供SVD算法Matlab实现，实现SVD分解，并返回分解值。(This code provides SVD algorithm Matlab, the realization of SVD decomposition, and a return value decomposition.)

在数字信号的基带传输过程中，信息传输速率在满足香农公式的条件下还极大地受到码间干扰的限制(It is also limited by intersymbol interference when transmission speed of code accord with Shannon expressions in the course of baseband transmission of digital signal.)

是2014年的cnn上的一个变化的网络，将卷积层与池化层之间的线性关系变成1×1的卷积层的非线性关系，名为network in network(Is a change in the 2014 cnn on the network layer of the linear convolution and pooled into a non-linear relationship between the layers 11, convolution layer, called the network in network)