2d-square-lattice

pammode function in matlab

此软件的基本功能主要分为2大模块:一个是数字图像处理模块，另一个是数字图像匹配模块。在数字图像处理模块中，用户可以对数字图像进行简单的处理，可以对图像进行放大，缩小，翻转，灰度处理。在数字图像匹配模块中，用户可以对两张图像进行匹配并显示匹配结果。(The basic function of this software is divided into two major modules: one is the digital image processing module, and the other is the digital image matching module. In digital image processing module, users can conduct a simple digital image processing, the right image to enlarge, reduce, flip, gray scale processing. In the digital image matching module, the user can match two images and displays matching results.)

此文件包含有四个基于matlab源程序,可直接运行.其说明如下 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度P0304：直方图均匀化(This file contains four based on the matlab source code can be directly run. Its description is as follows P0301: digital image data display matrix and its Fourier transform P0302: Two-dimensional discrete cosine transform image compression P0303: the use of gray-scale transformation method contrast-enhanced images P0304: Histogram of homogenization)

说明：  MATLAB小波去基线漂移程序，实现图像的基线漂移去除功能(MATLAB wavelet procedure to baseline drift, baseline drift realize image removal function)

用于空间数据分析中的Kf计算，并坐车相应的图形(Spatial data analysis for the calculation of Kf, and the corresponding graphic car)

The function calculates the mean curvature of the input structured matrix data.

说明：  这个用matlab写的小程序可以将连续的若干桢图像连接成一段视频(connect a sequence of images into a vedio)

说明：  基本粒子群算法，包括主函数和相应的适应度函数(PSO)

NeuralNetworkMatlab 神经网络讲义的matlab源代码(NeuralNetworkMatlab neural network overhead of Matlab source code)

有源噪声控制(ANC)主要基于LMS算法,但在处理宽带噪声信号和低信噪比情况下,效果不好.影响控制效果的主要原因是输入信号的自相关分布.而小波变换具有消除信号自相关的作用.因此将小波变换引入有源噪声控制(ANC)是解决问题的一种办法(Active noise control (ANC) is mainly based on the LMS algorithm, but ineffective in dealing with the situation of the broadband noise signal and low signal-to-noise ratio, the main reason affecting the control effect of autocorrelation distribution of the input signal. Wavelet transform to eliminate signalautocorrelation role Thus the wavelet transform is a problem-solving approach to the introduction of the active noise control (ANC))