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对轴承故障振动信号的matlab小波分析程序
- 对轴承故障振动信号的matlab小波分析程序，能完成对故障特征频率的提取,Of bearing fault vibration signals matlab wavelet analysis procedures, can finish on the fault characteristic frequency extraction
sound_recognition_system
- 基于小波包分析的声音特征提取--毕业设计程序：希望交流-Based on wavelet packet voice feature extraction- graduate design program: the hope of sharing
gabor_texture
- gabor小波图片纹理特征提取，MATLAB编码，效果不错！-gabor wavelet image texture feature extraction, MATLAB code, good results!
Gaborchanger
- 在MATLAB中调用gabor变换的代码，生成gaboe小波滤波器。主要用在模式识别的提取特征阶段。-In gabor transform call MATLAB code to generate a wavelet filter gaboe. Mainly used in pattern recognition feature extraction stage.
bear
- 这个是直升机齿轮箱故障特征提取的程序。用的是小波变化加上hilbert包络的方法，简单实用，对大型旋转设备的故障检测有很广泛的应用！-This is a Helicopter Gearbox Fault Feature Extraction procedures. Changes using a wavelet plus hilbert envelope method is simple and practical, on large rotating equipment fault detec
featureextraction
- 利用MATLAB实现一维信号时间序列的，特征提取，其中包括ICA和基于小波包的方法。-Use MATLAB to achieve one-dimensional time series signal, feature extraction, including the ICA and the method based on wavelet packet.
Wavelet_Based_Feature_Extraction_for_SVM_for_Scree
- 支持向量机在模式识别和分类中应用广泛， 小波方法的多尺度特性也众所周知。 本文将小波和支持向量机相互结合实现特征提取。-Support vector machine in pattern recognition and classification of the application of a wide range of multi-scale wavelet method is also well-known characteristics. In this paper, wavel
xiaobotztq1
- 用于小波瞬态特征提取,间断点的提取。首相经过数据滤波处理-wavlet
texture_feature
- 基于小波变换的纹理特征提取方法，可以提取特征值，经过修改也可以提取其他特征向量！适合初学者使用！-Wavelet-based texture feature extraction method that can extract the characteristic values, a modified vector of other characteristics can also be extracted! Suitable for beginners!
Matlabwaveletfeatureextraction
- Matlab小波特征提取，主要是纹理特征-Matlab wavelet feature extraction, texture features are mainly
locationP_QRS_T
- 基于小波变换的心电信号预处理 和PQRST波特征提取-PQRST wave of ECG preprocessing and feature extraction
Gabor
- 纹理特征提取 garbo小波技术实现纹理特征提取-texture based on Gabor
xiaobobao-BP-zhoucheng-zhenduan-
- 基于小波包特征向量与神经网络的滚动轴承故障诊断。：基于故障轴承的特征提取，提出了将小波包分析与神经网络结合的滚动轴承故障诊断方法。对滚动轴承信号进行3层小波包分解，构造小波包特征向量作为故障样本，用训练好的BP神经网络进行故障诊断，试验结果表明，该方法能够有效地诊断出滚动轴承的故障类型。-Fault Diagnosis of Rolling Bearings Based on W avelet Packet Energy Eigenvector and Neural Network
Moracevasobel
- 车辆特征提取 小波轮廓检测和Moracev焦点检测的功能融合-Vehicle contour detection and feature extraction of wavelet features Moracev focus detection integration
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,)
程序2
- 介绍的是关于提取小波特征以及支持向量机分类的编程，也就是特征提取识别分类。(Wavelet feature extraction and support vector machine classification)
小波包能量谱
- 用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
轴承特征提取
- matlab代码，轴承特征提取，包括rms、最大幅值、峰值因子、绝对平均值、平均值、峭度、脉冲因子、裕度因子、能量，小波包、经典模态分解等特征(Matlab code, bearing feature extraction, including rms, maximum amplitude, crest factor, absolute mean, mean, kurtosis, pulse factor, margin factor, energy, etc.)
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.)
小波提取纹理特征
- 在matlab中利用图像处理工具实现了通过小波变换提取纹理特征，包含例子