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packetdaima
- 小波包分解去噪c++源程序，包括信号的小波包分解，最优树选择，以及重构-Wavelet packet denoising c++ Source, including the signal wavelet packet decomposition, optimal tree selection, as well as the reconstruction of
work
- tubian2.m为对一实际信号做小波多层分解，wokao.m为各层小波分解后的电压有效值，其余为小波模极大程序和一实际电信号的滤波程序-tubian2.m for one to do the actual signal wavelet decomposition of multi-storey, wokao.m for all levels of wavelet decomposition after the RMS voltage, and the rest for the wavelet
wavelet-fenjieconggou
- 对信号进行小波变换，小波变换的分解与从构，以及一维静态离散小波分解-The signal wavelet transform, wavelet decomposition and from the structure, as well as the static one-dimensional discrete wavelet decomposition
jingtaixiaoy
- 基于小波变换和经验模态分解的大地电磁信号静态效应消除源程序-Based on wavelet transform and empirical mode decomposition of the magnetotelluric signal source to eliminate the static effect of
plusrilinoise
- 基于小波包的带通滤波器设计程序。给出了小波变换的快速算法和重构算法，讨论了应用小波变换进行信号带通滤波的方法，并通过正交小波包对信号的分解，把频率成分复杂的信号分解到各个频带上，根据需要提取指定频率的信号，然后用小波包重构算法对信号进行重构，实现对信号的提取。-Based on wavelet packet band-pass filter design program. Given the fast algorithm of wavelet transform and reconstructi
yy1
- 利用小波分解分析信号的时频特性 包含但尺度小波分解和多尺度小波分解-When using wavelet decomposition analysis signal frequency characteristics include scale wavelet decomposition and multi-scale wavelet decomposition
harmonic-and-harmonic--packet
- 共包含四个文件： hamo_packet.m 谐波小波包子程序，输入参数为原信号序列，采频，分解层数，返回三维数组，存储各层各频带分解结果； harmopacktest.m 检验上述子程序可行性的m文件； harmonic wavelet analysis.pdf Newland关于谐波小波的原始论文； 20130329谐波滤波.docx 内附matlab程序和分析结果。对电机电流信号做了谐波小波分解，分别从时域和频域构造谐波小波，结果显示，频域构造的小波光滑性稍差。-Conta
XIAOBOFJ
- 该程序可以实现对信号的小波分解、重构及各频带能量比分析-The program can achieve signal wavelet decomposition and reconstruction and the band energy than
xiaob
- 小波分解生理信号,然后根据呼吸 血氧 脉搏等的不同所在频率重构信号-wavelet decomposition and reconstruction
xiaoboji
- 信号的小波变换,小波变换不同小波基的不同的结果。在信号小波分解应选择不同的小波基-Signal of wavelet transform, the different results of different wavelet base on wavelet transform. In the signal wavelet decomposition is should choose different wavelet base
11 小波分析.m
- 进行小波分析，对于信号的分解，降噪，重构，都可以有效进行(Wavelet analysis can be carried out effectively for signal decomposition, noise reduction and reconstruction)
数学形态学与小波变换
- 小波分解可以使人们在任意尺度观察信号，只需所采用的小波函数的尺度合适。小波分解将信号分解为近似分量和细节分量，它们在应用中分别有不同的特点。比如，对含有噪声的信号，噪声分量的主要能量集中在小波分解的细节分量中，对细节分量做进一步处理，比如阈值处理，可以过滤噪声。(Wavelet decomposition allows people to observe signals at any scale, just the size of the wavelet function is appropri
emd加instfreq信号处理工具
- 经验模态分解，克服了小波分析的频率重叠效果不明显的问题。可以在欠定情况下进行信号分解。(Empirical mode decomposition, to overcome the wavelet analysis of the frequency overlap effect is not obvious problem. Signal decomposition can occur under undetermined conditions.)
waveform
- 利用Matlab改写的一个小波降噪方法对信号降噪的源码，效果还不错，欢迎使用。(The use of Matlab rewrite a wavelet denoising method for signal reduction of the source code, the effect is good, welcome to discuss.)
小波分析仿真程序
- 小波分析课程部分仿真程序，涉及加窗傅里叶变换、信号分解重构等，每步都有有详细注释(A part of the simulation program for the course of wavelet analysis.Relates to the windowed Fourier transform, signal decomposition and reconstruction, every step has a detailed notes .)
信号分解与采样
- 利用B样条、Wavelet小波函数对信号进行采样与重构，比较两种方法的优劣(We use B spline and Wavelet wavelet function to sample and reconstruct signals, and compare the advantages and disadvantages of the two methods.)
代码
- 小波包分析，对信号进行分解和重构，从而获得低噪声，完整的信号(Wavelet packet analysis, decomposition and reconstruction of signals, thus obtaining low noise, complete signal.)
EWT
- 经验小波变换，将信号分解为多个子特征的子序列。性能较EMD、EEMD、WD等有所提升。(Empirical wavelet transform decomposes the signal into sub sequences of multiple sub features. The performance is improved compared with EMD, EEMD, WD and so on.)
二维小波分解 (1)
- 小波变换，对图像二维信号进行3层小波分解。 本题二维图像采用MATLAB自带的图片,实现图片多层小波分解的函数是： [C,S]=wavedec2(X,N,’wname’) , 即使用给定小波‘wname’对二维信号X进行N层小波分解。本题使用’bior3.7’小波进行分析。(wavelet transform)