搜索资源列表
小波基的细化源码
- 很多时候需要小波基的细化,这是一个简单好用的小波基细化程序-often needs small Porgy Thinning, it is a simple and easy procedure thinning small Porgy
wavelet_function
- 用matlab采用双尺度方程求解小波基函数的方法 构造小波基-wavelet_function
wavelet
- 利用递归迭代法构造多小波基的matlab源码及实现多小波分解2-D图像-Recursive iterative method to construct multi-wavelet basis matlab source code and to achieve more than 2-D image wavelet decomposition
WaveletTransform
- 采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source
WaveletRecon
- 构造小波基的Matlab源代码,来自小波图像压缩教程-Construction Wavelet Matlab source code, from the wavelet image compression tutorial
qianru
- 内含三层dwt小波变换 以haar为小波基-dwt
DaubechiesWavelet
- 本程序是实现Daubechies小波基的构造的MATLAB程序。-This procedure is to achieve the structure of Daubechies wavelet of the MATLAB program.
wavelet_software3.0
- 本软件是进行小波开发的,利用它可以快速设计出需要的小波基 -The software is used to develop wavelet. Utilizing it can quickly design needed wavelet base.
xiaobojixuanze
- 数字图像处理方法的研究,小波基的选择比较实验的MATLAB源代码-The research of digital image processing technique
aa
- 紧支撑小波基构造课程资料 以构造紧支撑正交db小波为例-wavelet
基于小波变换的不同小波基去噪
- 包含不同小波基对图像去噪效果的仿真程序及结果,包含信噪比源程序。(Including different wavelet base image denoising effect of the simulation procedures and results, including signal to noise ratio source.)
小波变换
- 用keil4编写C代码实现小波变换,以Daubechies小波基进行常用波形的尺度系数和小波系数提取(C code written in keil4, wavelet transform, Daubechies wavelet basis for the commonly used waveform scale coefficients and wavelet coefficients extraction)
CWT
- 对滚动轴承声发射信号进行处理,运用基于正交小波基连续小波变换,寻找最优尺度参数(you can know the functions that finds the best scale in the CWT coefficients or the way how you can do this.)
小波基函数和图像融合评价指标
- 小波基函数和图像融合评价指标(清晰度、空间频率、梯度、信息熵)(Wavelet basis function and image fusion evaluation index)
小波基函数
- 我们通常用的函数dbn中的n就是这个小波函数的消失矩; 消失矩越大,它的支撑长度就越大,通常是支撑长度不少于2*n-1的; 消失矩越大,对应的滤波器越平坦,而且小波函数的振荡很强. 光滑函数在利用小波展开后的零点越多,也就是说小波的消失矩的大小, 决定了小波逼近光滑信号的能力.这一点也可以用来进行图像压缩. 越大的消失矩将使高频系数越小,小波分解后的图像能量也就很集中,压缩比例就越高. 通常我们都愿意采用消失矩较高的小波函数. 我们可以对一个信号,采用不同的消失矩的小波函数来分
小波信息熵
- 对信号进行小波变换,确定小波基的选择和分解层数,再求解信号的信息熵,可用于故障诊断。(The wavelet transform is performed on the signal to determine the selection and decomposition layers of the wavelet base, and then the information entropy of the signal is solved, which can be used for fault
小波神经网络中不同小波基的性能对比
- 对比不同小波基作为传递函数的性能,包括sigmoid函数,morlet函数,polywog函数(Compare the performance of different wavelet bases as transfer function, including sigmoid function, Morlet function, polywog function)
MATLAB
- 适用于MATLAB小波滤波过程中选用最佳小波基。针对一维声音信号。图片无用。(It is suitable for selecting the best wavelet basis in the wavelet filtering process of MATLAB. For one-dimensional sound signal.)
小波熵
- 小波熵求解,小波包分解,4是层数,db3为小波基,参数可改(wavelet entropy,wavelet packet decomposition,the number of layers is 4,db3 is the wavelet basis, parameters can be changed)
小波去噪
- 小波去噪,不同小波基,多层小波分解,软硬阈值去噪。(Wavelet denoising, different wavelet bases, multilayer wavelet decomposition, hard and soft threshold denoising)