blitwave

本文提出了一种Matlab环境下基Daubechies一5小波变换的灰色马尔可夫的短时交通流预测模型及算法 (In this paper, one kind Matlab environment Daubechies 5 wavelet transform gray Markov short term traffic flow prediction model and algorithm)

Wavelet compression algorithm. Start by computing a complete wavelet-transform using the cohen-daubechies-fevereau (2,2) biorthogonal wavelet (which incidentally seems to be the same as used for lossless JPEG2000, but they call it a (5,3)?).

使用小波变换的图像边缘检测算法(use wavelet transform Edge Detection Algorithm)

说明：  有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征(Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation)

移动窗口二维相关光谱方法matlab的实现，完全是自己参照公式编的哦。。移动窗口二维相关光谱是一种新的二维相关分析方法,它将移动窗口的概念和二维相关分析方法有效地结合在了一起,利用移动窗口将庞大的光谱数据按矩阵分割成若干个便于操作的子矩阵,用二维相关光谱分别处理,将得到的结果综合分析,用以光谱变量和扰动变量为坐标的等高图表现出来,从中可以非常直观地观察出光谱强度在扰动变量方向上的变化,进而找出引起光谱强度突变的特征扰动点。(Moving window two-dimensional correlation spectroscopy method matlab realization, is entirely their own formulas reference the Oh. . Moving window two-dimensional correlation spectroscopy is a new two-dimensional correlation analysis method, it will move the window concept and two-dimensional correlation analysis method is effective to combine together, using the moving window at the huge spectral data matrix is ​ ​ divided into a number of easy to operate a sub-matrix, respectively, using two-dimensional correlation spectroscopy process, comprehensive analysis of the results obtained for the spectral variables, and disturbance variables manifested contour map coordinates, which can visually observe the spectral intensity of the direction of the disturbance variable The change, then find mutations characteristic spectral intensity caused disturbance point.)

对图像进行滤波处理是图像处理中最常见的一种操作类型。而这其中低通滤波（也可以叫做平滑）有事各种滤波处理中最常用的。这里就简单写写 OpenCV 中提供的几种低通滤波方法。 具体思路：对源图像进行离散傅里叶变换，滤波后通过cvDFT进行傅里叶逆变换得到理想低通滤波器、巴特沃斯低通滤波器、高斯低通滤波器后图像

MORLET小波分析在MATLAB的环境下 适合初学者(MORLET waveLET ANYSIS)

小波变换程序，用于对一维信号，二维信号进行稀疏变换(wavelet transform)

关于最小二乘法的相位解包裹,对于学些图像处理的同学还是很有用的哦~(It s about the least squares method of phase unwrapping )

小波分解，得到低频系数并求特征熵，可用来对信号进行分选识别(Wavelet decomposition, low coefficient and entropy, which can be used for signal sorting and recognition)