资源列表
Integer-stack-type-transform
- 该文件为有关整数碟式变换的C++程序代码-The file is a disc about integer transform C++ code
chapter18_S
- MATLAB 2007 小波分析理论 第十八章代码 帮助大家学习小波-MATLAB 2007 wavelet analysis theory Chapter XVIII code to help you learn wavelet
xiaobofenxi
- 对一个信号进行连续小波分解 提取小波细节系数 提取近似系数 -On a continuous wavelet signal decomposition extracted wavelet detail coefficients extract approximate coefficient
FFTmatlab
- 做FFT只能看出信号在0到分析频率（采样频率的一半）之间的相对分布，或者说得到以采样频率归一化的频率。 采样频率即取样频率，指每秒钟取得信号样本的次数。所以，采样频率就是1/（delta t），其中delta t为连续采两次信号的时间间隔。 采样频率/采样点数=频率分辨率。 -Signal do FFT can only be seen in the 0 to the analysis frequency (half the sampling frequency) relative
二维小波变换
- 关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个
Generatednoisypolynomialsignal
- 生成含噪的多项式信号一维小波分解重构第1-4层逼近系数-Noisy polynomial signal is generated one-dimensional wavelet reconstruction of the first approximation factor of 1-4 layers
beijingquzao
- 利用小波变换，EMD以及两者的综合分别进行轴承信号背景噪声去噪分析-Using wavelet transform, EMD and the combination of the two separate bearing signal denoising of background noise
FWT
- FWT based image compression
wave.rar
- 小波滤波的MALLAT算法,程序编写的很容易懂,能实现bd1-db10的小波分解和重构,比我前一次发的小波算法更简单易懂,Wavelet filtering MALLAT algorithm, programming is very easy to understand, to achieve bd1-db10 wavelet decomposition and reconstruction, than I made the previous wavelet algorithm is more
wavelet-denoising
- 我的本科毕业设计所做的利用小波分析进行图像去噪的程序，供大家参考-I graduated design is done using wavelet denoising procedure, for your reference
lzwalgorithm
- tradition LZW alogrithm of image proce-tradition of image proce
gengausshermquadrule2
- 高斯的Hermite正交规则-generates zeros of a Hermite polynomial of degree n to tolerance "tol" and their associated weights.