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对白噪音信号进行基于小波变换尺度为n的分解
- 对白噪音信号进行基于小波变换尺度为n的分解
matlab1
- 我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. -We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then
yuzhi
- 小波软阈值simulink模型,对带噪语音信号进行小波分解，得到高低频系数，然后对高低频系数进行阈值处理，然后就行重构得到去噪语音信号-the simulink model of yuzhi
waveletdenoising
- 可实现对信号的小波分解及滤波-wavelet transform decomposition and denoising.
10waveletnoise
- 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
resconstruct
- 利用小波分解实现对信号多尺度分解重构，程序简单。-Wavelet decomposition of signal multi-scale decomposition and reconstruction, the program simple.
xiaobofenjie
- 1）了解小波分解与小波包分解概念区别与联系； 2）了解小波包的分解和重构算法积； 3）用matlab编程对信号进行小波包分解及小波能量图的绘制。 -1) to understand the wavelet decomposition and wavelet packet decomposition of differences and relations between concepts 2) to understand the wavelet packet decompositi
cwdenoise
- 复小波分解的程序，对信号进行去噪，只有一个程序，实现复小波的分解-Complex wavelet decomposition process, the signal denoising, only one procedure to achieve the decomposition of complex wavelet
xiaobofj
- 小波分解用在信号识别上面。所用信号有，单载波信号和OFDM信号以及另一种多载波信号WPM。对做信号处理和识别方面的朋友会很有帮助。-Wavelet decomposition used in the signal recognition above. Signals are used, single-carrier signals and OFDM signals, and other multi-carrier signal WPM. Do signal processing and iden
Matlab
- 信号去噪的基本步骤： （1）信号的小波分解； （2）小波分解高频系数的阈值量化； （3）信号的小波重构。使用分解的低频系数以及阈值量化后的高频系数进行小波重构。 -The basic steps of signal denoising:( 1) of the wavelet decomposition of signals ( 2) the high frequency coefficients of wavelet decomposition threshold quan
wavelet-MATLAB-code
- 实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition r
小波降噪与EMD混合
- 一种进行小波降噪后，对特征库的信号进行信号经验模态分解的例子(An example of signal empirical mode decomposition for signal of characteristic library after wavelet de-noising)
基于小波包提取轴承故障
- 基于小波包变换对信号进行分解，提取机器轴承故障的特征信号进行损伤识别，(The signal is decomposed based on wavelet packet transform, and the characteristic signals of machine bearing faults are extracted to identify the damage,)
HHT小波变换
- 用于脑电信号的小波分解与重构算法，另外还有一个基于信噪比的空域滤波算法和HHT分解算法，都是几个常用的脑电信号分解算法(Wavelet decomposition and reconstruction algorithm for EEG signals, in addition, a spatial filtering algorithm based on signal to noise ratio (SNR) and HHT decomposition algorithm, are sever
5.4 小波分解法
- 利用小波分解的方法进行语音信号的降噪处理，适用于语音增强领域(The wavelet decomposition method is used to denoise the speech signal, which is suitable for the field of speech enhancement.)
waveletDecompositionAtLevel4
- 4层小波分解，信号分解时域图，信号的频谱(4 layer wavelet decomposition,Signal decomposition time domain diagram,signal spectrum)
EWT
- 经验小波分解，通过ewt变换分解重构信号，实现对信号的降噪(Experience in wavelet decomposition, reconstruction signal by ewt transformation decomposition, realize the signal noise reduction)
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
基于多信号小波变换分解的特征提取
- 实现对振动信号的小波变换分解的特征提取。(The wavelet transform decomposition of vibration signal is realized to extract its features.)
小波实验
- 哈尔小波转换 一维信号与二维图像的三级分解 信号去噪与重构 morlet小波连续小波变换(Haar wavelet Three level decomposition of one dimensional signal and two dimensional image Signal denoising and reconstruction morlet wavelet continuous wavelet transform)