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- 一种图像检索中纹理特征提取的方法。本文介绍了基于Gabor 滤波器和Gabor 小波变换提取纹理特征的分析方法, 以及对Gabor 小波进行了高斯归一化以提高对图像检索的速度和准确度。-An image retrieval texture feature extraction methods. This article based on Gabor filters and Gabor wavelet transform to extract texture feature analysis me
04kz2612
- 基于小波包特征提取的车牌字符识别，是一片期刊论文，还不错的，可以学习-Feature extraction based on wavelet packet license plate character recognition is a journal articles, but also good, you can learn
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
ECG_Noise
- 心电信号特征点检测的算法研究,针对在心电信号检测中传统的小波方法受锢于二进小波变换的尺度只能是 按2的整次幂取值的缺陷，本文利用连续小波变换在尺度取值上可选取非二进 尺度的特性，系统研究了连续小波变换在心电信号检测中的应用，并提出了一 个基于连续小波变换的心电信号检测算法-ECD signal detect,QRS
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- 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.
xiaobotiqurenliangtuxiantezhen
- 基于matlab小波分析人脸识别的特征提取-Extraction based on wavelet analysis matlab face recognition feature
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.
nqqdw
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,MIMO OFDM matlab仿真,小波包分析提取振动信号中的特征频率。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, MIMO OFDM matlab simulation, Wavelet packet analysis to extract vibratio
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- 小波包分析提取振动信号中的特征频率，表示出两帧图像间各个像素点的相对情况，用MATLAB实现动态聚类或迭代自组织数据分析。- Wavelet packet analysis to extract vibration signal characteristic frequency, Between two images showing the relative circumstances of each pixel, Using MATLAB dynamic clustering or itera
matlab文件
- 利用小波变换、fft实现地震波的时域、频域特征的对比分析(Comparative analysis of seismic wave in time domain and frequency domain by wavelet transform and FFT)
eigenvector
- 使用matlab的小波变换特征向量和高低频系数的提取(Using matlab wavelet transform feature vector and extraction of high and low frequency coefficients)