搜索资源列表
三个多小波m函数
- 三个多小波m函数，包括cardbal2,cardbal3,cardbal4 无解压密码，-over 3 m wavelet function, including cardbal2, cardbal3, cardbal4 without extracting passwords,
多小波去噪.rar
- 多小波去噪，只需要改变一下图像的路径就可以用了！！！！
GHM多小波变换
- MATLAB中实现彩色图像的GHM多小波变换
lianxuxiaobobianhuan
- 连续小波变换的PPT格式，基础性只是比较多，适用于初学者-Continuous Wavelet Transform PPT format, the basis of just more for beginners
TCPxiaobo
- 用DCT变换和小波变换对全色光学图像和多光谱图像进行融合，生成同一图像。-Use DCT transform and wavelet transform of the panchromatic optical images and multi-spectral image fusion to generate the same image.
VFDT
- 小波对信号进行多分辨率分析，提取信号特征-Wavelet multi-resolution signal analysis, signal feature extraction
123
- 小波变换，图像的各种变化基于小波变换模极大的多尺度图像边缘检测matlab源代码-xiaobobianhuan
mulscal_edge
- 通过多尺度小波变换获取图像边缘的软件包，可以用来分割图像-Through a multi-scale wavelet transform to obtain the image edge of the package
wavetransfprm
- 小波变换 VC++的演示源代码，应用到了图像处理上，打开BMP图像 ，可以进行小波一次、二次、三次变换，也可以进行行列变换、滤波及反变换，这里不多说，源代码是最好的说明 。 -Wavelet Transform Demonstration VC++ source code, applied to image processing, open BMP images, can be wavelet once, twice, three times a transformation, the ra
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
multiwavelet
- 本程序用于多小波预滤波 多小波分解 多小波重构(This program is used for multiwavelet pre filtering, multiwavelet decomposition and multiwavelet reconstruction)
小波多分辨分析
- 小波多频分析，对信号进行多频重构，分析信号的高频和低频成分(The wavelet time-frequency analysis, to multi-frequency signal reconstruction, analysis of high frequency and low frequency components of signals)
小波分频
- 运用小波分析把地震波分频，选取4阶db为母小波，可以进行多次分频，减小分频误差(The wavelet analysis is used to divide the seismic wave frequency and select the 4 order DB as the mother wavelet, which can be divided into several times to reduce the frequency division error)
IJ1185
- 小波包分解（wavelet packet decomposition）也可称为小波包（wavelet packet）或子带树（subband tree）及最佳子带树结构（optimal subband tree structuring）。其概念是用分析树来表示小波包，即利用多次叠代的小波转换分析输入讯号的细节部分。本案例主要用于小波包分解计算及绘图(The wavelet packet decomposition can also be called the wavelet packet or
wavelet_analysis
- 通过二进小波的多尺度分析对lena图像进行边缘提取的操作。(wavelet analysis using in extract edge from a picture)
cl4
- 通过已知的滤波器系数，来画出小波函数的时域图(The time domain diagram of the wavelet function is drawn by the known coefficient of the filter)
图像频域操作全系列
- 对图像进行傅里叶变换，离散余弦变换，小波分解，拉东变换等(Two layers of wavelet decomposition for image)
故障诊断与容错控制课程设计报告
- 针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在，运用神经网络来实现故障的分类，还结合D-S理论融合了多个传感器的诊断结果，提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault
EWT
- 经验小波变换，将信号分解为多个子特征的子序列。性能较EMD、EEMD、WD等有所提升。(Empirical wavelet transform decomposes the signal into sub sequences of multiple sub features. The performance is improved compared with EMD, EEMD, WD and so on.)
二维小波分解 (1)
- 小波变换，对图像二维信号进行3层小波分解。 本题二维图像采用MATLAB自带的图片,实现图片多层小波分解的函数是： [C,S]=wavedec2(X,N,’wname’) , 即使用给定小波‘wname’对二维信号X进行N层小波分解。本题使用’bior3.7’小波进行分析。(wavelet transform)