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fusionandregistration
- -The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all
CWT-model-PUH400W
- Diagram Scematic ATX CWT model PUH400W
Study-on-compound-fault-diagnosis
- 针对滚动轴承复合故障信号特征难以分离的问题， 提出将双树复小波变换和独立分量分析( ICA) 结合的故障诊断方 法 该方法首先将非平稳的故障信号通过双树复小波变换分解为若干不同频带的分量 由于各个分量存在一定的频率混叠， 对 故障信号特征提取有很大的干扰， 进而引入 ICA 对各个分量所组成的混合信号进行盲源分离， 从而尽可能消除频率混叠 最后 对从混合信号中分离出来的独立分量信号进行希尔伯特包络解调， 即可实现对复合故障特征信息的分离和故障识别-Aiming at the diff
xiaobobaoyuzhijiangzao
- ：提出一种基于对偶树复小波块阈值的信号降噪方法，并将其成功应用于机械故障诊断中。机械设备的振动信号都或多或少地含有噪声，导致弱故障信息的提取一直是故障诊断的难点和热点。提出的降噪方法充分利用对偶树复小波变换的平移不变性和块阈值法的更优估计特性，可以获得比常规的小波降噪方法以及基于常规离散正交小波变换的 NeighBlock 降噪法更高的信噪比， 不仅能有效抑制高斯白噪声， 还能够去除冲击信号中的脉冲噪声。-：A denoising method of block thresholding bas
program-for-dt-cwt-transform
- i need the matlab coding for image fusion using different types of techniques . so, i need the particular coding your file. i need different types pf transform like IHS,PCA, DCT, and brovey transform.- i need the matlab coding for image fusion using
CWT
- 小波变换文档汇总：二维小波变换在图像去噪处理中的应用、matlab小波工具箱及其应用、morlet小波变换理论与应用研究及软件实现、二维小波变换去噪的MATLAB可视化设计等-Wavelet transform document summary: two-dimensional wavelet transform in image denoising processing, matlab wavelet toolbox and its application, the application m
cwt
- 基于小波变换的码元速率估计，估计精度很高。还有测试信号和mpsk函数功能。-Symbol rate based on wavelet estimation, estimation accuracy is high. There are test signals and mpsk Function.
DT-CWT-BASED-BLOCK-NONLINEAR-DENOISING
- It is a PPT presentation on on image denoising using DT-CWT. A comparison is proposed between two techniques: BiShrink and BlockShrink.
dwt
- 已知一信号f(t) 3sin100pit+2sin68pit+5cos(72pit) 且该信号混有白噪声 对 该信号进行连续小波变换 小波函数用db3 尺度为1、1.2、1.4、1.6……3。 要求 在MatLab 工作空间中直接输入命令 用cwt()函数计算这一信号的小波变换-MatLab dwt
wave_matlab
- The compressed document consists of several code files which are used to implement the continuous wavelet transform.It enables you to be understand CWT more precisely.wish you like it.