2015
DOI: 10.1155/2015/862807
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Improved Empirical Mode Decomposition Algorithm of Processing Complex Signal for IoT Application

Abstract: Hilbert-Huang transform is widely used in signal analysis. However, due to its inadequacy in estimating both the maximum and the minimum values of the signals at both ends of the border, traditional HHT is easy to produce boundary error in empirical mode decomposition (EMD) process. To overcome this deficiency, this paper proposes an enhanced empirical mode decomposition algorithm for processing complex signal. Our work mainly focuses on two aspects. On one hand, we develop a technique to obtain the extreme po… Show more

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Cited by 13 publications
(15 citation statements)
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References 23 publications
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“…Based on the fundamental cause of end effects and inspired by the research achievements [28,29,38] of experts and scholars, a new method, which is called local linear extrapolation, is proposed to eliminate the problem of end effects. This method is the improved version of Yang’s method [28]. The advantage of this method is that it can determine the extremum of an endpoint according to the development trend of both ends without extending or predicting the data.…”
Section: A Revised Hilbert–huang Transform (Hht)mentioning
confidence: 99%
See 3 more Smart Citations
“…Based on the fundamental cause of end effects and inspired by the research achievements [28,29,38] of experts and scholars, a new method, which is called local linear extrapolation, is proposed to eliminate the problem of end effects. This method is the improved version of Yang’s method [28]. The advantage of this method is that it can determine the extremum of an endpoint according to the development trend of both ends without extending or predicting the data.…”
Section: A Revised Hilbert–huang Transform (Hht)mentioning
confidence: 99%
“…In addition, our method is compared with Yang’s method [28]. A signal y 4 ( t ) is applied to analyze the advantages of our method.…”
Section: A Revised Hilbert–huang Transform (Hht)mentioning
confidence: 99%
See 2 more Smart Citations
“…To mitigate end effect and envelope fitting limitation associated with traditional empirical mode decomposition (EMD) [22], the improved empirical mode decomposition (IEMD) method proposed by Yang et.al. [35] and Yang and Yang [36] is investigated. Later on, to compensate for the information loss during signal decomposition, the effect of weather factors (i.e., exogenous variables) is incorporated by introducing T-Copula correlation analysis technique.…”
Section: Introductionmentioning
confidence: 99%