fdtd_2d_yuanzhu

照书上写的一个小程序，已经测试过没有问题(According to the book written by a small program, no problem has been tested)

matlab，讲的很详细和大家分享一下！(matlab, said very detailed and to share with you!)

非常帅气的window32 窗口类源码，可以此为基础做进一步的开发。(A Simple Win32 Window Wrapper Class。http://www.codeproject.com/win32/win32windowwrapperclass.asp)

windows打开拍照检索关闭camera的相关函数实现(The camera Function for windows)

MATLAB初学入门者使用教程，共4部分。第1章概述1.rar第第2章语法.rar第3章SIMULINK.rar第4章建模.rar (MATLAB beginner beginners tutorial 4. Chapter 1 Overview 1.rar 2 syntax the Rar 3 Chapter SIMULINK.rar of Chapter 4 Modeling. Rar)

Simple visual basic calculator with installer

对给定语料估计其基音周期。 要求用MATLAB或C语言实现有关基音检测算法，并给出检测结果。 (For a given corpus to estimate the pitch period. Required to use MATLAB or C language realization of the pitch detection algorithm, and gives test results.)

MATLAB (matrix laboratory) is a numerical computing environment and fourth-generation programming language. Developed by MathWorks, MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and Fortran.(MATLAB是MATrix LABoratory的缩写，是一款由美国MathWorks公司出品的商业数学软件。MATLAB是一种用于算法开发、数据可视化、数据分析以及数值计算的高级技术计算语言和交互式环境。除了矩阵运算、绘制函数/数据图像等常用功能外，MATLAB还可以用来创建用户界面及与调用其它语言（包括C，C++和FORTRAN）编写的程序。)

本代码是Real-time O(1) Bilateral Filtering,也就是常数时间复杂度的双边滤波器，它对于很多其他算法有着很大的作用。对应论文就是Real-time O(1) Bilateral Filtering。亲自编译运行通过(It is the C++ code of Real-time O(1) Bilateral Filtering, that is, constant time complexy bilateral filtering, it is vitally useful for other algorithams. The responding paper is Real-time O(1) Bilateral Filtering. It is execuable.)

This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size parameter, μ(n). This parameter is selected so that the error value , e+(n), will be