DocumentCode
1931410
Title
Notice of Retraction
Detection of harmonics submerged in heavy and coloured noise based on wavelet packet decomposition
Author
Bao Zhong-hua ; Hu Peng ; Gong Shen-guang ; Tan Hao
Author_Institution
Weaponry Dept., Naval Univ. of Eng., Wuhan, China
Volume
3
fYear
2010
fDate
9-11 July 2010
Firstpage
208
Lastpage
210
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes a novel detection approach for harmonics in strong additive background noise. Firstly, a wavelet packet transform based filter bank was used to decompose the received noisy signal into several orthogonal sub-band signals. And then, combined with adaptive threshold floating technique, a group of sliding power detectors was applied to detect each given sub-band signals respectively. Simulation results show that the presented method has a good performance in a very low signal-to-noise ratio (SNR) condition.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes a novel detection approach for harmonics in strong additive background noise. Firstly, a wavelet packet transform based filter bank was used to decompose the received noisy signal into several orthogonal sub-band signals. And then, combined with adaptive threshold floating technique, a group of sliding power detectors was applied to detect each given sub-band signals respectively. Simulation results show that the presented method has a good performance in a very low signal-to-noise ratio (SNR) condition.
Keywords
AWGN; filtering theory; harmonic analysis; signal detection; wavelet transforms; adaptive threshold floating technique; additive background noise; filter bank; harmonics detection; signal to noise ratio; sliding power detectors; wavelet packet decomposition; adaptive threshold floating; harmonics; power detector; signal detection; wavelet packet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563719
Filename
5563719
Link To Document