基于小波变换的EMD阈值和去噪

2014 9th International Conference on Computer Engineering & Systems (ICCES) Pub Date : 2014-12-01 DOI:10.1109/ICCES.2014.7030940

S. Elgamel

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引用次数: 3

摘要

采用经验模态分解(EMD)作为去噪技术来提高噪声信号的信噪比。本文在传统的EMD阈值与去噪(EMD- td)和启发小波去噪技术的基础上，提出了一种新的EMD迭代改变阈值与去噪(EMD- iatd)算法。利用模拟和真实环境对新EMD-IATD算法相对于传统EMD-TD算法的信噪比进行了评估。

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EMD thresholding and denoising inspired by wavelet technique

Empirical mode decomposition (EMD) is used as denoising technique to enhance the signal to noise ratio (SNR) for noisy signals. A new EMD denoising algorithm named EMD iterative altering thresholding and denoising (EMD-IATD) based on the traditional EMD thresholding and denoising (EMD-TD) and inspirited Wavelet denoising technique is developed in this paper. The improved SNR of the new EMD-IATD over the traditional EMD-TD algorithm is assessed using range of simulated and real environments.

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2014 9th International Conference on Computer Engineering & Systems (ICCES)

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