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AWT
- 基于随机减量法得到自由衰减时程,并进行去噪,后小波变换,拾取小波脊线处的幅值以及相位信息,提取自振频率及模态-The random decrement method based on free decay time, and after denoising, wavelet transform, wavelet ridge is picking up the amplitude and phase information extraction, natural vibration frequen
data
- 对数据进行小波分析和重构,得到想要频率的波形进行分析-For the wavelet analysis and wavelet decomposition reconstruction of data, to obtain frequency waveform analysis
chidutu
- 采用带宽为3,中心频率为3的复morlet小波对示例信号进行了分析,并绘出时频图。-Using bandwidth of 3, center frequency is 3 complex morlet wavelet to sample signal is analyzed, and draw the time-frequency diagrams.
wavelet
- 基于小波的纹理特征,小波四层分解,特征向量含有均值、标准差、空间频率等,共13*4个特征。-Based on texture feature of wavelet, wavelet decomposition, four layers of characteristic vector containing the mean, standard deviation, such as spatial frequency, a total of 13* 4 characteristics.
wavelet
- 傅里叶变换是用一系列不同频率的正余弦函数去分解原函数,变换后得到是原函数在正余弦不同频率下的系数。 小波变换使用一系列的不同尺度的小波去分解原函数,变换后得到的是原函数在不同尺度小波下的系数。 不同的小波通过平移与尺度变换分解,平移是为了得到原函数的时间特性,尺度变换是为了得到原函数的频率特性。 小波变换步骤: 1.把小波w(t)和原函数f(t)的开始部分进行比较,计算系数C。系数C表示该部分函数与小波的相似程度。 2.把小波向右移k单位,得到小
CS-denoising--wavelet-analysis
- 介绍了图像的小波分析的基本理论和基于小波变换的分解与重构原理,利用小波变换对二维图 像进行分解,将原始图像分解成不同方向、不同频率成份的子图像。同时对含噪图像进行小波分解,然后选 取适当的阈值,对小波分解系数进行阈值量化,再对高低频系数重构,实现图像的去噪。-Image compression and de-noising based on wavelet analysis
xiaobo
- 这个过程是连续小波变换的时频分析源代码,小波分析在时间-频率域特性-This procedure is time-frequency analysis of continuous wavelet transform source code, wavelet analysis in time- frequency domain characteristics
2464613103
- 基于小波变换和 HHT 的分布式并网系统谐波检测方法。 该方法利用小波变换多分辨率分析思想对信号进行划分,并对划分后的信号进行经验模态分解,得到一系列的经验模态函数IMF,并从 IMF分量中提取出基波分量和高次谐波;再对IMF分量进行Hilbert 变换得到信号的频率、幅值信息。-Wavelet transform and HHT based distributed systems and network harmonic detection method. The method use
wavelet-outer-fault
- 滚动轴承外圈故障频率,小波分析后包络变换,数据来源西储大学-Rolling bearing outer fault wavelet analysis
xiaobohanshu
- 介绍了各种小波函数,包括提取一维小波变换低频系数,计算完整最佳小波包树,求小波中心频率等函数的函数名-Describes the various wavelet functions, including a one-dimensional wavelet transform to extract the low-frequency coefficients to calculate the optimal wavelet packet complete tree, seeking the cen
fft
- 描绘了一个三种频率四个端点的图,行这个图纸呢更可以进行小波变换和HHT你是内环,通过结果说明HHt谱与时间的关系-Depicts a figure three frequencies of the four endpoints, line drawings that can do more wavelet transform and inner HHT you are, by the results illustrate the relationship between the spectrum
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
Frequency-domain-filtering
- 频率域图像增强。傅里叶变换。快速傅里叶变换。小波变换。-Frequency domain image enhancement.The Fourier transform.Fast Fourier transform.The wavelet transform.
37011
- 小波变换对不同的频率在时域上的取样步长是可调节的,在低频时,小波变换的时间分辨率较低,频率分辨率较高:在高频时,小波变换的时间分辨率较高,而频率分辨率较低。-Wavelet transform to a different frequency in the time domain sampling step length is adjustable, at low frequencies, time wavelet transform lower resolution, a higher fre
gzjtxbjz
- 针对异步电机形成复合故障时电流频谱存在的故障频率成分难以准确分离的问题,结合 小波降噪算法与共振解调技术,提出一种异步电机复合故障分离方法。-For questions asynchronous motors form a complex spectrum of the existence of the fault current is difficult to accurately separate frequency component failure, combined Wavel
dffsacxz
- 面是我写的 NSCT-PCNN 图像融合程序,论文见: 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法.自动化学报,Vol.34, No.12, pp: 1508-1514.Dec.2008. Matlab Image Fu-面是我写的 NSCT-PCNN 图像融合程序,论文见: 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法.自动化学报,Vol.34, No.12, pp: 15
asdc
- 面是我写的 NSCT-PCNN 图像融合程序,论文见: 屈小波, 闫敬文, 肖弘智, 朱自谦.非降采样Contourlet域内空间频率激励的PCNN图像融合算法
wtRidge
- 采用复小波变换提取小波脊线,可较好识别频率-Using complex Wavelet transform Wavelet Ridge can better identify the frequency
xiaobojiancexinhao
- 小波分析在信号奇异性检测中的应用,举两个例子,第一个是检测第一类型间断点,第二个是识别某一频率区间上的信号。-Wavelet Analysis in Signal Singularity Detection, to cite two examples, the first is the detection of the first type of discontinuity, and the second is to identify a frequency interval signal on
a8
- 小波分解,用于去噪处理。通过频率对其进行相应分解。-Wavelet decomposition for denoising. Its decomposition by the corresponding frequency.