Description: 信号处理，关于信号处理的emd方法。进行去噪和自动识别。-Signal processing, signal processing emd on the method. For denoising and automatic identification. Platform: |
Size: 1024 |
Author:安凤平 |
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Description: 基于EMD分解的去噪算法以及HHT变换的各种用途-EMD decomposition based on denoising algorithm and HHT transform for a variety of purposes Platform: |
Size: 3147776 |
Author:jw |
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Description: 基于改进EMD的脑电信号去噪方法Based on the improved EMD EEG signal denoising method-Based on the improved EMD EEG signal denoising method Platform: |
Size: 1269760 |
Author: |
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Description: 一种基于EMD分解后对imf分量利用小波分解进行去噪的方法，给出了相应的例子，有注释-Based on the EMD decomposition after the imf component by using the method of wavelet decomposition denoising, corresponding examples are given, with comments Platform: |
Size: 6144 |
Author:王文书 |
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Description: 针对非线性非平稳信号的去噪问题，提出一种基于主成分分析（ＰＣＡ）的经验模态分解（ＥＭＤ）消噪方法．该方法根据ＥＭＤ的分解特性，利用ＰＣＡ对噪声信号经ＥＭＤ分解后的内蕴模态函数（ＩＭＦ）进行去噪处理-For nonlinear and non-stationary signal de-noising is proposed based on principal component analysis (PCA) of the empirical mode decomposition (EMD) denoising.
The method according to EMD decomposition characteristics of the noise signal by using the PCA EMD decomposition of the intrinsic mode functions (IMF) denoising Platform: |
Size: 652288 |
Author:张力 |
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Description: 此文件是基于经验模态分解emd的去噪算法matlab程序，该方法十分有效-This document is based on empirical mode decomposition emd denoising algorithm matlab procedures, the method is very effective Platform: |
Size: 2048 |
Author:邵丹 |
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Description: 主要是基于mtlab的程序，各种资源分配算法实现，计算加权加速度,针对EMD方法的不足,仿真效果非常好，复化三点Gauss-lengend公式求pi，采用了小波去噪的思想。- Mainly based on the mtlab procedures, Various resource allocation algorithm, Weighted acceleration, For lack of EMD, Simulation of the effect is very good, Complex of three-point Gauss-lengend the Formula pi, Using wavelet denoising thought. Platform: |
Size: 6144 |
Author:ivwcdjd |
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Description: 调用程序可对信号进行EMD分解，再进行奇异值分解降噪(The calling program can decompose the signal by EMD, then the singular value decomposition and denoising 2D empirical wavelet program. The calling subroutine can perform the empirical wavelet transform on the image.) Platform: |
Size: 24576 |
Author:安之若素_ |
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