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denoising
小波变换、EMD以及EMD结合小波变换几种常用的时频去噪方法的对比分析(Wavelet transform, EMD and the EMD of several commonly used wavelet transform time-frequency denoising Comparative Analysis)
- 2021-01-06 10:38:53下载
- 积分：1
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bwclearborder
single level ,two level, multi level dwt for the denoising
- 2012-09-21 19:02:15下载
- 积分：1
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DSPC
多波束、波束形成、DSP实现、多波束分析(Multibeam、Multi-beam forming、Multi-beam analysis、DSP、)
- 2011-08-14 17:16:57下载
- 积分：1
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decomposition
运行emd,得到输入信号X的固有模态函数（imf），每列代表着信号X的一阶分量，X就是我们采集的信号。
hhtdn是hht去噪的程序，可以不看，仅看emd 和 findpeaks
wvtdn是wavelet去噪程序，如果只是分解信号，仅用下面的语句即可
[C,L] = wavedec(x_noise,dl,wn);
x_noise就是我们采集的信号，dl是分解的阶数，wn是分解的母小波名称(% Empiricial Mode Decomposition (Hilbert-Huang Transform)
% imf = emd(x)
% Func : findpeaks)
- 2021-04-13 22:28:55下载
- 积分：1
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DT-CWTcode
该源代码又称双树复小波变换源代码，它不仅具有Gabor变换的六个方向选择性，而且有更小的冗余度，对图像处理的同行们肯定有很大的价值，可直接下载使用。(The source code also known as the Dual-Tree Complex Wavelet Transform source code, it not only has the Gabor transform of the six direction selectivity, but also has a smaller redundancy of image processing colleagues certainly have great value, can directly download使用.)
- 2021-04-21 14:28:49下载
- 积分：1
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matlab3
相关性小波去噪的程序实现，相关性去噪的程序实现(Wavelet denoising procedures related implementation procedures related to implementation of denoising)
- 2010-05-21 09:23:17下载
- 积分：1
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wavelet-analysis-important
小波变换是一种非常重要的时频分析方法，研究小波变换对于地震处理研究有着非常重要的作用(Wavelet transform is a important tool for time-frequency,which plays an important part in the seismic processing.)
- 2013-01-27 17:17:32下载
- 积分：1
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Wavelet-Neural-networks
Wavelet Neural networks
- 2014-02-24 02:29:54下载
- 积分：1
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wavelets
基于小波变换的图像压缩编码，实现了多种小波变换，并且实现了12:1的高压缩率。(Based on Wavelet Transform Image Coding, to achieve a variety of wavelet transform, and achieved a high 12:1 compression ratio.)
- 2008-12-29 09:02:17下载
- 积分：1
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wavelet-matlab
说明： 基于小波变换的图像融合源代码，利用的融合规则分别使用简单的模值取大和基于区域能量。(Image fusion based on wavelet transform source code, the use of fusion rule modulus were obtained using a simple large and region-based energy.)
- 2021-05-09 01:38:35下载
- 积分：1
