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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

数字信号处理 实验3 matlab代码 东南大学(Digital Signal Processing Experiment 3 matlab code Southeast University)

一种改进的自适应权值立体匹配算法，用于图像处理等(An improved adaptive weight stereo matching algorithm for image processing, etc.)

SUBROUTINE Gauss 高斯消去法的子程序 分享给大家(SUBROUTINE Gauss_Expunction a methed to solve matrix )

在matlab中，绘制图像的灰度直方图，并均衡化复原图像(In matlab, rendering the image histogram, and equalization restored image)

随机减振法处理振动数据，之后可以使用ARMA和复指数法处理得到自振频率(Random vibration damping treatment data, then you can use the ARMA and complex exponential treatment was natural frequency)

k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scripts(kdtree_demo.m & kdrange_demo.m),很实用( This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/src, as well as precompiled mex files for the following systems: - Mac OS X (Matlab 6.5) - Redhat Linux (Matlab 6.5) - Windows (Matlab 6.1) Two demo scripts are provided (kdtree_demo.m & kdrange_demo.m). The new features added June 2004: + You can now use N dimensional data points, where N>3. + Use KDTREEIND to return the index value to the closest point, instead of the closest point values. + KDRANGEQUERY can now return these index values as well. Written by/send comments or suggestions to : Guy Shechter guy at jhu dot edu June 2004 )

matlab中的simulink建模简单演示(matlab simulink modeling simple demo)

能够实现经典谱估计和现代谱估计的方法的比较，而且表现结果直接明了。(Can realize classic spectral estimation and modern spectral estimation method , and performance results direct and clear. )

this is matlab code that perform convex optimization for several objective function types