搜索资源列表
Wavelet_transform
- 小波变换源代码，用于图像分析，包括图像压缩、纹理分析和识别。-The program illustrates the original code of wavelet transformation, which can be used in image compression, texture analysis and recognization.
小波变换源码
- 带有多种小波基的小波变换程序，可用于图象识别，信号突变检测。-with multiple small Porgy wavelet transform procedures can be used to image recognition, signal mutation detection.
moviergbEdge
- 视频流avi中物体边缘定位与跟踪，可用于目标识别。
Curvelet
- 关于curvelet变换的几篇文章，关于曲波变换用于人脸特征提取的人脸识别方面的文章。-Several articles on the curvelet transform, curvelet transform on the feature extraction for face recognition aspects of the article.
ppanalysis
- 功率谱分析，用于序列的周期识别。将一序列用不同周期的谐波分解,并用F检验进行周期检验。-Power spectrum analysis for identification of sequence cycles. One sequence will be different harmonic decomposition cycle and test cycle with F test.
xiaobomatlabcode
- 基于小波变换的matlab图像处理程序，可用于图像预处理，人脸识别，特整提取等功能。-Based on wavelet transform matlab image processing procedures, can be used for image preprocessing, face recognition, special features such as the whole extract.
STPatternRecognitonbaseonBP
- 摘要:心电图ST段对心脏疾病的诊断具有重要意义。在正确读取采集于郑州大学一附院的运动心电图数据基础上,利用小波变换更准确地确定其ST段的起始和终止位置,初步探讨了BP神经网络用于心电图ST段识别的方法,并用此方法识别出心电图ST段的三种类型—正常、水平压低和抬高。实验结果较好。 -Abstract: ECG ST segment on the diagnosis of heart disease is important. Collected in the correct reading o
vstock61
- 离散小波变换，然后主成分分析进行数据降维，用于模式识别，如人脸识别，掌纹，-Discrete wavelet transform, and then principal component analysis for data dimensionality reduction for pattern recognition, such as face recognition, palm prints,
GaborFilter
- 利用Gabor滤波器提取图像纹理特征，用于图像分类模式识别-Extract the texture feature using Gabor filter/wavelet. You should first generate cell array G, which is a set of kernels in freq domain, then pass G and the image to the function GABORCONV.
wavelet-transform
- 小波变换代码 用于图像处理，分解融合，同样可用于识别系统。-wavelet transform
q1
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q2
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q3
- 复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was proposed. The phase of vibrati
q4
- 提出了一种基于复解析小波变换的相位诊断齿轮故障的方法。复解析小波变换将Hilbert变换与小波分析紧密结合在一起,具有自适应分析能力。利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-A new method using the phase based on complex analytical wavelet transform for fault diagnosis of gears was pro
q5
- 利用复解析小波变换得到齿轮振动信号的相位,其功率谱图上可提取调制边频带结构来识别故障模式。试验结果表明这种方法可有效应用于齿轮局部故障诊断中。-By making spectrum analysis of the phase, the sideband structure in power spectrum can be protruded, and the fault pattern can be identified. Experimental results show that the p
Research-on-the-Wavelet
- 用于信号去噪中有小波变换实现信号的极大值检测及边缘识别-Wavelet transform for signal denoising realize the great value of the signal detection and edge detection
wavelet-transform
- 小波变换，基于特征提取，可以尝试用于图像识别-wavelet transform
HHT
- HHT变换实现模态分解和瞬时频率计算，有实例，可用于桥梁监测的损伤识别。-HHT
db10
- 小波基为db的小波变换，可以提取输入图像的小波特征，低频高频的信息，然后得到特征后用于分类或识别-Wavelet transform is a wavelet transform, which can extract the wavelet features of the input image, low frequency and high frequency information, and then get the feature for classification or recogni
MATLAB 神经网络用于数字识别源程序
- 使用matlab神经网络工具包进行图像数字识别进行(image digital recognition using matlab neural network toolkit)