Research on instantaneous feature of non-stationary signal based on hilbert-huang transform and wavelet packet decomposition
An improved analysis method for non-stationary signal based on Hilbert-Huang transform (HHT) and the wavelet packets decomposition (WPD) is presented in this paper. First, the WPD is used to decompose the signal into a set of narrow band signals prior to HHT. Second, the suitable threshold value is...
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| creator | Fabin Cheng Baoping Tang Qiyuan He |
| description | An improved analysis method for non-stationary signal based on Hilbert-Huang transform (HHT) and the wavelet packets decomposition (WPD) is presented in this paper. First, the WPD is used to decompose the signal into a set of narrow band signals prior to HHT. Second, the suitable threshold value is selected for each decomposed components. Last, HHT is only applied to those components which wavelet coefficients are larger than the threshold value. The proposed method can not only solve the shortcoming of empirical mode decomposition (EMD) in HHT, but also decrease the unnecessary noise influence upon the later decomposition, and reduce the computing quantities and the decomposition layers of EMD. The results of simulation and experiment indicate the proposed method is very effective |
| doi_str_mv | 10.1109/ICOSP.2006.344496 |
| format | Conference Proceeding |
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The results of simulation and experiment indicate the proposed method is very effective</description><identifier>ISSN: 2164-5221</identifier><identifier>ISBN: 0780397363</identifier><identifier>ISBN: 9780780397361</identifier><identifier>EISBN: 9780780397378</identifier><identifier>EISBN: 0780397371</identifier><identifier>DOI: 10.1109/ICOSP.2006.344496</identifier><identifier>LCCN: 06-927929</identifier><language>eng</language><subject>Educational institutions ; Frequency ; Helium ; Mechatronics ; Noise reduction ; Signal analysis ; Signal processing ; Wavelet analysis ; Wavelet packets ; Wavelet transforms</subject><ispartof>2006 8th international Conference on Signal Processing, 2006, Vol.1</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4128832$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4128832$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Fabin Cheng</creatorcontrib><creatorcontrib>Baoping Tang</creatorcontrib><creatorcontrib>Qiyuan He</creatorcontrib><title>Research on instantaneous feature of non-stationary signal based on hilbert-huang transform and wavelet packet decomposition</title><title>2006 8th international Conference on Signal Processing</title><addtitle>ICOSP</addtitle><description>An improved analysis method for non-stationary signal based on Hilbert-Huang transform (HHT) and the wavelet packets decomposition (WPD) is presented in this paper. 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First, the WPD is used to decompose the signal into a set of narrow band signals prior to HHT. Second, the suitable threshold value is selected for each decomposed components. Last, HHT is only applied to those components which wavelet coefficients are larger than the threshold value. The proposed method can not only solve the shortcoming of empirical mode decomposition (EMD) in HHT, but also decrease the unnecessary noise influence upon the later decomposition, and reduce the computing quantities and the decomposition layers of EMD. The results of simulation and experiment indicate the proposed method is very effective</abstract><doi>10.1109/ICOSP.2006.344496</doi><oa>free_for_read</oa></addata></record> |
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| ispartof | 2006 8th international Conference on Signal Processing, 2006, Vol.1 |
| issn | 2164-5221 |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Educational institutions Frequency Helium Mechatronics Noise reduction Signal analysis Signal processing Wavelet analysis Wavelet packets Wavelet transforms |
| title | Research on instantaneous feature of non-stationary signal based on hilbert-huang transform and wavelet packet decomposition |
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