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1下载:
小波工具箱的应用基础 395
16.1 一维小波分析的应用 395
16.1.1 小波分解在普通信号分析中的应用 395
16.1.2 小波变换在信号特征检测中的应用 411
16.2 二维小波分析的应用 417
16.2.1 小波分析在图像平滑中的应用 417
16.2.2 小波分析在图像增强中的应用 418
16.2.3 小波分析在图像融合中的应用 420
16.3 小波包分析的应用 422
16.3.1 小波包在信号时频分析中的应用 423
16.
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这是基于matlab的图像去噪程序,使用小波包的方法实现。默认阈值。及小波分解重构等。-This is based on Matlab image denoising, the use of wavelet packet method. The default threshold. Wavelet decomposition and reconstruction, and so on.
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小波包分析提取振动信号中的分解,系数重构特征频率,以及能量谱分析计算-Wavelet packet analysis to extract the vibration signal decomposition coefficient reconstruction of the characteristic frequency, and calculate the energy spectrum analysis
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小波包能量代码,利用db1小波将信号分解和重构,然后计算小波系数的平方,进行正则化-Wavelet packet energy code, the use db1 wavelet signal decomposition and reconstruction, and then calculate the square of wavelet coefficients, the regularization
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小波包变换分析信号的MATLAB程序
小波分析信号去噪
小波分解与重构经典程序-Wavelet packet transform analysis of signals in MATLAB program Signal de-noising wavelet decomposition wavelet analysis and reconstruction classic program
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将一个小波结构的矩阵反排成小波包结构矩阵,根据最高的分解层次,将原图3*level+1块分开赋给矩阵以便单独操作,按从上到下,从左到右的顺序-Anti-matrix of a wavelet structure arranged in wavelet packet structure matrix, according to the highest level of decomposition, the original 3* level+1 separate assigned to the m
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首先,给出了对应于多重多分辨分析的双正交多小波包的定义,建立了具有任意矩阵伸缩的双正交多小波包的理论框架.在此基础上,给出了具有有任意矩阵伸缩的高维不可分双正交多小波包的构造方法.由此构造的多小波包的分分解系数能从不同的滤波器中抽取,这使的小波包的应用更灵活.
-Firstly, the definition of biorthogonal multi-wavelet packet corresponding to multiple multi-resolution analysis, th
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利用小波包变换对信号进行分解及重构,对于初学者是一个很好的学习材料。-Wavelet packet transform signal decomposition and reconstruction, is a good learning materials for beginners.
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小波包分解(wavelet packet decomposition)也可称为小波包(wavelet packet)或子带树(subband tree)及最佳子带树结构(optimal subband tree structuring)。其概念是用分析树来表示小波包,即利用多次叠代的小波转换分析输入讯号的细节部分。本案例主要用于小波包分解计算及绘图(The wavelet packet decomposition can also be called the wavelet packet or
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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
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针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在,运用神经网络来实现故障的分类,还结合D-S理论融合了多个传感器的诊断结果,提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault
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运用matlab对图像进行小波包的分解与重构(Wavelet packet decomposition and reconstruction)
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运用小波包分解功能对含噪信号降噪,剔除干扰噪声,提高信号信噪比。(The function of wavelet packet decomposition is used to denoise the noisy signal, eliminate the interference noise and improve the signal-to-noise ratio.)
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小波包分解与重构,实际应用很实用,matlab可以很好运行(Wavelet Packet Decomposition and Reconstruction)
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Emd分解,通过峭度和相关系数选择IMF,进行信号重构,小波分解,小波包分解。(Emd decomposition, selecting IMF by kurtosis and correlation coefficient, signal reconstruction, wavelet decomposition, wavelet packet decomposition.)
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关于小波包分解和小波包能量熵的算例,可直接运行。(Examples of wavelet packet decomposition and wavelet packet energy entropy.)
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有关小波包的各种程序,小波包分解和选择最佳节点树等。(Various programs related to wavelet packet, wavelet packet decomposition and selection of the best node tree, etc.)
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对故障数据的小波包分解与信号重构、小波包能量特征提取 暨 小波包分解后实现按频率大小分布重新排列,并进行降噪处理。(After wavelet packet decomposition and signal reconstruction, wavelet packet energy feature extraction and wavelet packet decomposition, the fault data can be rearranged according to the frequ
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特色:1.借用小波包分解和小波能量熵函数;2.GUI界面导入西储大学轴承故障数据;3:对提取小波能量方便快捷(Features: 1. Use wavelet packet decomposition and wavelet energy entropy function; 2. GUI interface to import bearing fault data of Xichu University; 3. It is convenient and fast to extract wavel
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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)
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