py

说明：  矩形阵波束形成代码，快速高效的算法，，经典波束形成算法(Rectangular array beamforming code, fast and efficient algorithm, the classical beamforming)

本程序源码用于电力系统对称三相短路电流计计算，由matlab语言实现。 可直接使用。 (This procedure source for symmetrical three-phase power system short-circuit curreent calculation, by the matlab language. Complete source code can be used directly. )

这个工具包包含的若干程序之一就是图像滤波与模糊处理的函数，用于图像处理。 包含文件有： .DS_Store, ._.DS_Store, apply_colormap.m, ._apply_colormap.m, barb.png, callback_ti_wavelets.m, ._callback_ti_wavelets.m, change_color_mode.m, ._change_color_mode.m, compile_mex.m, ._compile_mex.m, compute_avi_file.m, ._compute_avi_file.m, compute_dead_leaves_image.m, compute_directional_kernel.m, compute_gabor_filter.m, ._compute_gabor_filter.m, compute_periodic_poisson.m, ._compute_periodic_poisson.m, compute_random_patches.m, compute_ssim_index.m, 等等 (.DS_Store, ._.DS_Store, apply_colormap.m, ._apply_colormap.m, barb.png, callback_ti_wavelets.m, ._callback_ti_wavelets.m, change_color_mode.m, ._change_color_mode.m, compile_mex.m, ._compile_mex.m, compute_avi_file.m, ._compute_avi_file.m, compute_dead_leaves_image.m, compute_directional_kernel.m, compute_gabor_filter.m, ._compute_gabor_filter.m, compute_periodic_poisson.m, ._compute_periodic_poisson.m, compute_random_patches.m, compute_ssim_index.m, )

WINNER II模型matlab源代码 用于3D-MIMO仿真 包含三实例(WINNER II Model matlab source code for 3D-MIMO simulation Three examples included ;))

DOA估计中，2MUSIC算法的前后向平滑与前向、后向平滑的比较。(This is the DOA estimation by ULA and spatial smoothing.)

Watermarking text to image by using watermarking

a good way to display Color image histogram. the result image is a 3D image. Very intuitive!

在不同位置以不同角度显示 有木有 的MATLAB 程序(In different locations to different angles to show some wooden MATLAB program)

1.Matlab 7.6简单入门。 2.Matlab 7.6小波工具入门。(1.Matlab 7.6 simple tutorial. 2.Matlab 7.6 Introduction of wavelet tools.)

％例15-1 NaN数据参与分析 a = magic(3) a(2,2) = NaN ％用NaN表示遗失数据 sum(a) ％对数据集进行求和( Example 15-1 NaN data involved in the analysis a = magic (3) a (2,2) = NaN missing data with NaN express sum (a) of data sets summation)