Wav_denoise

matlab的经典算法程序。包括差值拟合与规划问题；绘图；数据分析与解方程等。还有ppt说明。(classic algorithm matlab program. Including the difference between the fitting and planning issues drawing data analysis and solution of equations and so on. There ppt instructions.)

sift原程序，对之前版本的一些地方进行了重要修改，算法健壮可靠，可直接运行。(Sift matlab codes which modified the former version and fixed some big problems.The rusult is reliable and robust.The program can execute directly.)

matlab符号运算的ppt讲解教程，讲解通俗易懂，易于学习(ppt matlab symbolic computation tutorials explain, easy to understand explanation, easy to learn)

利用混合有限元方法求解抛物型方程的matlab算法(The use of mixed finite element method for solving parabolic equations in matlab algorithm)

these programs written as un application of image processing field.

一个MATLAB GUI程序，可以方便地用来手动标记正训练样本和负训练样本。 —————————————————— 1.首先输入要标定的数据库目录、要存放正训练样本的目录、要存放负训练样本的目录 2.点击“开始”，程序自动依次显示数据库目录中的图片 3.点击“正例”或“反例”将会把当前图片复制到相应目录 4.可以在图片上点击拖动圈出一个区域，以截取圈出的区域作为样本 5.选中“约束选取比例”可以使得最终选取的样本有固定的大小(A matlab GUI program that can be used to label training samples manually. It contains rich functions)

Median Filtering for background subtraction

速度很快的低密度奇偶校验码的Matlab仿真程序(Fast low-density parity-check code of Matlab simulation program)

< 精通MATLAB综合辅导与指南> 西安交通大学 李人厚 张平安 等译校 这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。()

Simple VaR Calculator provides: - Evaluation of return distribution of single asset or portfolio of assets - Volatility forecasts using moving average and exponential algorithm - Value at Risk of single asset or portfolio measurement using parametric and historical simulation. - Historical data can be obtained from simple text file or MS Excel using Matlab Excel Links. (Simple VaR Calculator provides:- Evaluation of return distribution of single asset or portfolio of assets- Volatility forecasts using moving average and exponential algorithm- Value at Risk of single asset or portfolio measurement using parametric and historical simulation .- Historical data can be obtained from simple text file or MS Excel using Matlab Excel Links.)