搜索资源列表
Hierarchical-Singular-Detection--
- 设计了一个新的基于小波变换的信号奇异点分步检测法，该方法的特点是根据脉冲奇异点和阶跃奇异点的不同特征分两步从信号中提取奇异点-Design a new step detection method based on wavelet transform signal singularity points, the method of characteristics is extracted from the signal in two steps according to the different
tzextraction
- 基于小波分析的信号特征提取，可以应用于多个领域-The extracted signal characteristics based on wavelet analysis can be applied to multiple areas
waveletfenxi.m
- 用matlab实现小波包能量分析，可以提取特征信号-Wavelet Packet Energy Analysis
Wavelet-invariant-moments
- 利用小波不变矩进行图像特征的提取，里面有图 可以直接运行-Wavelet invariant moments for image feature extraction, which the Figure can directly run
cg09000773
- 基于小波变换的图像纹理特征提取方法及其应用-A Method of Image Texture Feature Analysis Based on Wavelet Decomposition and its Application
2dwave
- 使用二维小波进行分解，再进行重构的程序。重要用于人脸特征提取。-Using two-dimensional wavelet decomposition remodeling program. Important for face feature extraction.
Estimation-crowd-density
- 本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估 计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd
VCsrc
- 本论文对指纹图像基于小波变换的各种处理进行了分析、总结。图像处理包括基于小波变换的指纹图像滤波处理和基于小波的指纹图像增强处理。同时介绍指纹图像的预处理：目的是去除指纹图像中的噪音，将其转化为一幅清晰的点线图，便于提取正确的指纹特征。它分四步进行，即灰度滤波、二值化、二值去噪、细化。-The paper fingerprint image processing based on wavelet transform analysis summary. Image processing, inclu
Classification-with-wt
- 通过小波变换对少量样本进行特征提取，达到识别同类物体的效果。-Of a small sample of feature extraction by wavelet transform, to achieve the effect of the recognition of similar objects.
xiaobofenxitezhengtiqu
- 语音信号处理中，基于小波分析的特征提取的源程序，实现效果较好-Speech signal processing, feature extraction based on wavelet analysis source to achieve better
xiaobotiqu.m
- 关于小波包变化的，特征提取的一些程序，可直接运行成功。-Wavelet packet feature extraction
tezhengtiqu
- 基于小波分析的特征信号提取的matlab程序-Matlab program signal extraction based on wavelet analysis features
renlianshibie
- Gabor小波人脸识别，LBP特征提取，PCA，LPP降维。自己做的毕业设计。-Gabor wavelet face recognition, LBP feature extraction, PCA, LPP dimensionality reduction. Own graduation design.
code
- 利用Gabor小波提取图像纹理特征的程序-Using Gabor wavelet to extract image texture features of the program
tuxiangfenxi
- 在matlab中对大量的轴承故障的特征信号进行小波包分解，提取特征值，并建立神经网络训练，最终可由网络进行故障的分析-In matlab large number of bearing fault characteristic signal wavelet packet decomposition, extract characteristic values, and the establishment of neural network training, and ultimately by
aa
- 小波模极大值用于边缘特征提取.很好的一个matlab算法，可以直接验证。-Wavelet modulus maxima for edge feature extraction algorithm matlab good one can be directly verified.
xiaobojumatlab
- 小波矩的matlab代码，主要用于全局特征提取使用，比较简便-Wavelet Moment matlab code, mainly for global feature extraction using relatively simple
speech-analysis
- 用于语音分析，用小波分析算的提取语音信号的特征参数，是一个非常有用的算法-For voice analysis, calculated using wavelet analysis to extract the characteristic parameters of the speech signal is a very useful algorithm
The-wavelet-transform
- 利用小波变换来提取特征点，主要是通过小波系数的比较，提取关键点，再通过关键点匹配，实现图像配准。-Using wavelet transform to extract feature points, mainly through the comparison of wavelet coefficients, extract key points, and then through the critical point matching, to achieve image registration
87
- 小波分析可同时从时域和频域两个方面对信号进行分析，结合包络分析十分适合滚动轴承的故障特征提取；基于双通道的全矢小波分析方法不仅对单通道小波分析方法具有兼容性，而且弥补了传统的基于单通道信 息进行旋转机械故障特征提取造成的信息量不完整、易导致误诊的弊端。结果表明，在针对滚动轴承外圈故障特征提取时，全矢小波分析方法较小波一包络分析方法具有一定的优势。 -Wavelet analysis simultaneously from the time domain and frequency doma