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Ch1799
- 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.
Ch1999
- 小波变换在故障诊断中的应用 441 18.1 引言 441 18.2 基本原理 442 18.3 小波变换在轴承故障诊断中的应用 444 18.3.1 轴承外环故障诊断 444 18.3.2 轴承滚动体故障诊断 448 18.4 小波变换在齿轮故障诊断中的应用 450 18.5 小波包在轴承故障诊断中的应用 452 18.5.1 轴承外环故障诊断 453 18.5.2 轴承滚动体故障诊断 454-wavelet transform fault diagnosi
neuralandwavelet
- 对采集到的电压信号进行小波包分解提取特征向量，再进行BP神经网络训练-On the acquisition of the voltage signal to the wavelet packet decomposition to extract feature vector and then BP neural network training
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- 基于小波包的信号瞬态成分检测与提取方法及其应用,提出基于小波包分解特征表示和瞬态特征重 建方法并应用于汽车变速器齿轮的故障诊断,结果表明基于小波包分解的信号特征表示方法能有效检测信号中瞬 态成分的存在,瞬态成分的重建结果有效地表示了齿轮的故障状态。 -The detection and extraction of signal transients through wavelet packets decomposition are studied and signal trans
1
- 基于小波包变换的电力系统谐波分析,对于从事该方面的研究很有帮助-Based on wavelet packet transform power system harmonic analysis, engaged in the research helpful
xiaobo
- 一个小波包进行边缘检测的代码，是利用分解图片实现的边缘检测-A wavelet packet edge detection code, the use of decomposed image edge detection is achieved
gege
- 小波包分析提取振动信号中的分解小波包分析提取振动信号中的分解-Wavelet packet analysis vibration signal decomposition wavelet packet analysis vibration signal decomposition
HARR_DWT2
- 图像尺度为2的全分解小波包，Harr小波变换，一个主程序，两个附程序。-2 full-scale image wavelet packet decomposition, Harr wavelet transform, a main program, two additional programs.
wheel-treadmonitoring
- 城轨车辆轮对踏面故障在线监测系统，基于振动检测法的轮对踏面故障监测系统，通过傅里叶变换、小波包分析对釆集到的振动信号进行分析获得信号的特征,研究了基于短时能量判断的踏面故障特征提取算法。-On line monitoring system for wheel tread of urban rail vehicles, based on the vibration detection method of wheel tread fault monitoring system, through th
vgyxv
- 小波包分析提取振动信号中的特征频率，应用小区域方差对比，程序简单，真的是一个好程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Application of small area variance comparison, simple procedures, Really is a good program.
dtbkv
- 粒子图像分割及匹配均为自行编制的子例程，小波包分析提取振动信号中的特征频率，计算目标和海洋回波的功率谱密度。- Particle image segmentation and matching subroutines themselves are prepared, Wavelet packet analysis to extract vibration signal characteristic frequency, Calculating a target and ocean echo po
paoging_v86
- 小波包分析提取振动信号中的特征频率，算法优化非常好，几乎没有循环，真的是一个好程序。- Wavelet packet analysis to extract vibration signal characteristic frequency, Algorithm optimization is very good, almost no circulation, Really is a good program.
ting-V4.5
- 窗函数法设计一个数字带通FIR滤波器，小波包分析提取振动信号中的特征频率，采用波束成形技术的BER计算。- A window function design FIR digital band-pass filter, Wavelet packet analysis to extract vibration signal characteristic frequency, By applying the beam forming technology of BE.
munfanfui
- 小波包分析提取振动信号中的特征频率，欢迎大家下载学习，有循环检测，周期性检测。- Wavelet packet analysis to extract vibration signal characteristic frequency, Welcome to download the study, There are cycle detection, periodic testing.
tanmingfen
- 解耦，恢复原信号，主要是基于mtlab的程序，小波包分析提取振动信号中的特征频率。- Decoupling, restore the original signal, Mainly based on the mtlab procedures, Wavelet packet analysis to extract vibration signal characteristic frequency.
nd565
- 均值便宜跟踪的示例，小波包分析提取振动信号中的特征频率，相关分析过程的matlab方法。- Example tracking mean cheap, Wavelet packet analysis to extract vibration signal characteristic frequency, Correlation analysis process matlab method.
fiujai-V7.1
- 小波包分析提取振动信号中的特征频率，分析了该信号的时域、频域、倒谱，循环谱等,有井曲线作为输入可计算其地震波的衰减。- Wavelet packet analysis to extract vibration signal characteristic frequency, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. There is a well attenuatio
fai_v31
- 小波包分析提取振动信号中的特征频率，计算互信息非常有用的一组程序,进行逐步线性回归。- Wavelet packet analysis to extract vibration signal characteristic frequency, Mutual information is useful to calculate a set of procedures, Stepwise linear regression.
hi787
- 小波包分析提取振动信号中的特征频率，GSM中GMSK调制信号的产生，连续相位调制信号(CPM)产生。- Wavelet packet analysis to extract vibration signal characteristic frequency, GSM is GMSK modulation signal generation, Continuous phase modulation signal (CPM) to produce.
tc521
- 比较了软阈值，硬阈值及当今各种阈值计算方法,毕业设计有用，小波包分析提取振动信号中的特征频率。- Comparison of soft threshold and hard threshold and today various threshold calculation method, Graduation useful Wavelet packet analysis to extract vibration signal characteristic frequency.