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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!
一维和二维小波变换的VC实现
- 小波算法在vc的具体实现.小波算法在图像处理,视频压缩,特征提取等领域有广泛应用,程序以灰度图像为数据分别演示了一维和二维小波变换,希望对大家有所帮助.谢谢!-vc wavelet algorithm in a concrete realization. Wavelet algorithms in image processing, video compression, feature extraction and other fields have extensive application
Extractionoffaultfeaturevector
- 用小波包提取故障特征向量并归一化，很实用，论文里的部分程序-Extracted using wavelet packet fault eigenvector and normalized, it is useful, some of the procedures in the thesis
Face_detection
- 基于高波小波特征提取和神经网络的人脸检测Matlab源码。-Based on high-wave wavelet feature extraction and neural network face detection Matlab source code.
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!
wavepp
- 利用小波进行一级特征提取，在此基础上采用2dpca进行二级特征提取，用于人脸识别。-Carried out a wavelet feature extraction, in this based on the use of 2dpca for two feature extraction for face recognition.
Untitled
- 利用小波变换实现对故障信号的特征提取 构造特征向量-Wavelet transform feature extraction of fault signals structural feature vector
Gabor
- 使用Gabor小波对图像进行特征提取，代码可以直接使用-Using the Gabor wavelet feature extraction, the code can be used directly
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
小波分解+MSE熵+特征提取
- 通过小波四层分解，获取脑电信号的四个波形，之后运用多变量多尺度熵计算综合MMSE，为脑电信号识别做基础(After four layers of wavelet decomposition, four waveforms of EEG signals are acquired, and then the MMSE is calculated by using multivariable and multi-scale entropy, which is the basis of EEG reco
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,)
matlab代码_小波矩特征提取
- 小波变换，小波矩特征提取方法，特别好用，注释清楚(Wavelet transform, wavelet moment feature extraction method, particularly easy to use, annotated clearly.)
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)
双树复小波分解+特征提取+输出Excel
- 运行小波变换对图像进行处理分析，包括去噪纹理提取等(Running wavelet transform to process and analyze image, including denoising texture extraction, etc.)