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Java图像处理
- 用Java实现的图像教学程序，涵盖大部分基本图像处理技术：（1）图像几何变换（图像翻转、旋转、缩放）；（2）色彩变换（灰度直方图，RGB->YSH变换，对比度调整，色彩增强，灰度均衡）；（3）卷积（锐化、柔化、边缘提取、中值滤波）；（4）频率变换（快速傅立叶fft，小波分解重构）-A teaching program which implements in Java. It includes most essential image processing technology. 1.
分解与合成
- 用Matlab中的Haar和Db9小波对图像进行分解和重构,并在不同阈值下用PNG格式存储重构的图像.-Matlab Haar and the right image Db9 wavelet decomposition and reconstruction, and under different thresholds with PNG format image storage remodeling.
wavelet transform program
- 内容：基于MATLAB的小波变换程序 具体功能：实现四级信号的小波分解和重构-Content: wavelet transform based on Matlab: four level signial wavelet decomposition and reconstruction are implemented.
wavelet_signal
- 采用mallat算法进行小波分解/重构的程序，支持一维和二维信号-Mallat algorithm using wavelet decomposition / remodeling process, support one-and two-dimensional signal
5_3_lifting
- 采用5/3小波提升算法编写的一维和二维信号小波分解与重构程序。给出了图象分解的演示示例。-using 5 / 3 wavelet algorithm to enhance the one-and two-dimensional wavelet decomposition and reconstruction process. Given the decomposition of images demonstration examples.
代码
- 小波包分析，对信号进行分解和重构，从而获得低噪声，完整的信号(Wavelet packet analysis, decomposition and reconstruction of signals, thus obtaining low noise, complete signal.)
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
xiaobobao
- 运用matlab对图像进行小波包的分解与重构(Wavelet packet decomposition and reconstruction)
小波包分解重构
- 小波包的分解重构算法例程，小波包的初学者可以借鉴
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.)
fenpin
- 通过小波变换理论，将地震加速度分解为互不重叠的不同频段的小波分量(Based on the theory of wavelet transform, the seismic acceleration is decomposed into non overlapping wavelet components of different frequency bands.)
Denoisewp
- 运用小波包分解功能对含噪信号降噪，剔除干扰噪声，提高信号信噪比。(The function of wavelet packet decomposition is used to denoise the noisy signal, eliminate the interference noise and improve the signal-to-noise ratio.)
function wpt
- 小波包分解与重构，实际应用很实用，matlab可以很好运行(Wavelet Packet Decomposition and Reconstruction)
matlab代码
- 针对小波包去噪对含强白噪声的信号处理效果不理想问题，提出了基于互相关分析优化的VMD-小波包阈值去噪方法。该方法融合了VMD和小波包去噪的优势，通过VMD把含噪信号分解成若干个模态分量，根据互相关分析提出的临界相关系数从所有模态分量中搜寻极优模态分量，之后利用小波包阈值去噪对极优模态分量进行处理。实验结果表明，该方法对含强白噪声的信号去噪效果具有优势，能够保全信号的有效分量，克服了传统VMD去噪的盲目性，保证了去噪后信号的真实性。(Denoising by wavelet threshold t
025126298EEG_WAVELET
- 小波变换对脑电信号处理有用，采用db4小波对脑电信号7层分解(Wavelet is useful for EEG signal processing)
xiaobo
- 对故障数据的小波包分解与信号重构、小波包能量特征提取 暨 小波包分解后实现按频率大小分布重新排列，并进行降噪处理。(After wavelet packet decomposition and signal reconstruction, wavelet packet energy feature extraction and wavelet packet decomposition, the fault data can be rearranged according to the frequ
心音信号处理分析
- 在matlab仿真平台上对某一心音信号进行采样、小波分解、消噪处理、信号重构等信号处理(Heart audio data processing)
基于小波包的图像去噪方法
- 本代码是基于小波包的图像去噪方法，运用小波包对图像进行分解和重构。-This code is based on wavelet packet image denoising method, using wavelet packet image decomposition and reconstruction.