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xiaobobao
- 此程序是用小波分析的小波包来对图像进行处理的
wavelettrans
- 文件包提供小波变换的vc实现，包含基于小波变换的图像小波域分析，为后续处理提供参考
wavelet_code
- 这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。-This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly
xiaobobianhuantux
- 小波变换是一种快速发展和比较流行的信号分析方法, 其在图像处理中有非常重要的应用, 包括图像压缩, 图像去噪, 图像融合, 图像分解, 图像增强等。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波 (CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis,
xiaobo
- 我的这个是一种基于小波包分析的图像融合方法-I this is a wavelet packet analysis-based image fusion method
myexcise1
- 我做的课题的响应信号，做了响应的小波包能量分析，希望对大家有帮助-I do issue a response signal, so the response of the wavelet packet energy analysis, we want to help
WaveletApply
- 小波分析用于图像去噪、边界扭曲、压缩、数字水印、小波包分解与重构、图像融合及边缘检测。-Wavelet analysis is used to image denoising, boundary twisted, compression, digital watermark, and wavelet packet decomposition and reconstruction, image fusion and edge detection.
007
- 小波包在信号处理中的应用（信号时频分析、信号消噪、信号压缩）-Wavelet packet in signal processing of the application (signal frequency analysis, signal de-noising, signal compression)
matlabacSharp
- 用小波包分析实现轴承故障诊断，信号分析处理，界面编程-Bearing fault diagnosis using wavelet packet analysis and signal analysis and processing, interface programming
Wave-Analysis-Toolbox-1.1.21
- 小波分析工具箱是一个包中的m文件和可执行程序的理论和实证统计分析。-The Wave Analysis Toolbox is a package of MATLAB m-files and executable routines for empirical and theoretical statistical analysis of cycle
OJ1211010001486B9EbH
- 基于局部能量与模糊逻辑的红外偏振图像融合，该文与小波包，支持向量机等融合算法进行对比分析，说明该文算法的优势。-Infrared polarization image fusion based on local energy and fuzzy logic, this paper, wavelet packet, support vector machines and other fusion algorithm comparison analysis to illustrate the adv
tuxiangfenxi
- 在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
xiaobobao
- 小波包变换可以对高频部分提供更精细的分解，而且这种分解既无冗余，也无疏漏，所以对包含大量中、高频信息的信号能够进行更好的时频局部化分析。-Wavelet packet transform can provide the high frequency part of the finer decomposition, and this decomposition is neither redundant nor oversight, so the signal contains a large am
WAVPENE
- 小波包分析结合能量算法实现特征信号的提取，其中还包含用于测试的轴承数据-Wavelet packet analysis combined with the energy of signal feature extraction algorithm, which also contains the data for bearing test
waveaenergy
- 此程序为小波包变换结合和能量谱分析提取特征频率-This procedure for the analysis of wavelet packet transform and energy spectrum feature extraction of frequency combination
4.image-fusion-algorithm
- 基于HSV与小波包分析的遥感图像融合，首先多光谱图像转换到HSV空间，再与全息图像分别进行小波包分解，然后低频与高频各自采用不同的融合方法，最后得到融合图像。-image fusion
小波分析 编程
- 小波分析的各种尺度分解包括单尺度分解，多尺度分解以及小波包分解及重构，小波分解重构精简(All kinds of scale decomposition of wavelet analysis include single scale decomposition, multi-scale decomposition, wavelet packet decomposition and reconstruction, and wavelet decomposition and reconstruct