On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system

Jun Zhao; Weiguo Liu

doi:10.1109/ICOSP.2008.4697065

On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system

Jun Zhao, Weiguo Liu

School of Automation

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, a quasi real-time Wavelet denoising algorithm was used to improve the online denoising effect based on wavelet transform, which is realized on the DSP embedded platform. The simulation and analysis, compared with off-line wavelet algorithm, were discussed. And the platform was designed to fulfil the requirement of quasi real-time wavelet algorithm. With the quasi real-time wavelet algorithm, the platform reduced the noise effectively form σ_original = 1.00000 to σ_denoised =0.65589. The minimum processing period of the platform is 0.25ms with 256 points moving data window. The effect was obvious in application of the signal denoising, which is used to measure liquid rate successfully.

Original language	English
Title of host publication	2008 9th International Conference on Signal Processing, ICSP 2008
Pages	46-51
Number of pages	6
DOIs	https://doi.org/10.1109/ICOSP.2008.4697065
State	Published - 2008
Event	2008 9th International Conference on Signal Processing, ICSP 2008 - Beijing, China Duration: 26 Oct 2008 → 29 Oct 2008

Publication series

Name	International Conference on Signal Processing Proceedings, ICSP

Conference

Conference	2008 9th International Conference on Signal Processing, ICSP 2008
Country/Territory	China
City	Beijing
Period	26/10/08 → 29/10/08

Keywords

DSP-embedded platform
Quasi real-time denoising
TMS320C6713
Wavelet transform

Access to Document

10.1109/ICOSP.2008.4697065

Cite this

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title = "On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system",

abstract = "In this paper, a quasi real-time Wavelet denoising algorithm was used to improve the online denoising effect based on wavelet transform, which is realized on the DSP embedded platform. The simulation and analysis, compared with off-line wavelet algorithm, were discussed. And the platform was designed to fulfil the requirement of quasi real-time wavelet algorithm. With the quasi real-time wavelet algorithm, the platform reduced the noise effectively form σoriginal = 1.00000 to σdenoised =0.65589. The minimum processing period of the platform is 0.25ms with 256 points moving data window. The effect was obvious in application of the signal denoising, which is used to measure liquid rate successfully.",

keywords = "DSP-embedded platform, Quasi real-time denoising, TMS320C6713, Wavelet transform",

author = "Jun Zhao and Weiguo Liu",

year = "2008",

doi = "10.1109/ICOSP.2008.4697065",

language = "英语",

isbn = "9781424421794",

series = "International Conference on Signal Processing Proceedings, ICSP",

pages = "46--51",

booktitle = "2008 9th International Conference on Signal Processing, ICSP 2008",

note = "2008 9th International Conference on Signal Processing, ICSP 2008 ; Conference date: 26-10-2008 Through 29-10-2008",

}

Zhao, J & Liu, W 2008, On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system. in 2008 9th International Conference on Signal Processing, ICSP 2008., 4697065, International Conference on Signal Processing Proceedings, ICSP, pp. 46-51, 2008 9th International Conference on Signal Processing, ICSP 2008, Beijing, China, 26/10/08. https://doi.org/10.1109/ICOSP.2008.4697065

On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system. / Zhao, Jun; Liu, Weiguo.
2008 9th International Conference on Signal Processing, ICSP 2008. 2008. p. 46-51 4697065 (International Conference on Signal Processing Proceedings, ICSP).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system

AU - Zhao, Jun

AU - Liu, Weiguo

PY - 2008

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N2 - In this paper, a quasi real-time Wavelet denoising algorithm was used to improve the online denoising effect based on wavelet transform, which is realized on the DSP embedded platform. The simulation and analysis, compared with off-line wavelet algorithm, were discussed. And the platform was designed to fulfil the requirement of quasi real-time wavelet algorithm. With the quasi real-time wavelet algorithm, the platform reduced the noise effectively form σoriginal = 1.00000 to σdenoised =0.65589. The minimum processing period of the platform is 0.25ms with 256 points moving data window. The effect was obvious in application of the signal denoising, which is used to measure liquid rate successfully.

AB - In this paper, a quasi real-time Wavelet denoising algorithm was used to improve the online denoising effect based on wavelet transform, which is realized on the DSP embedded platform. The simulation and analysis, compared with off-line wavelet algorithm, were discussed. And the platform was designed to fulfil the requirement of quasi real-time wavelet algorithm. With the quasi real-time wavelet algorithm, the platform reduced the noise effectively form σoriginal = 1.00000 to σdenoised =0.65589. The minimum processing period of the platform is 0.25ms with 256 points moving data window. The effect was obvious in application of the signal denoising, which is used to measure liquid rate successfully.

KW - DSP-embedded platform

KW - Quasi real-time denoising

KW - TMS320C6713

KW - Wavelet transform

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M3 - 会议稿件

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SN - 9781424421794

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SP - 46

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BT - 2008 9th International Conference on Signal Processing, ICSP 2008

T2 - 2008 9th International Conference on Signal Processing, ICSP 2008

Y2 - 26 October 2008 through 29 October 2008

ER -

On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system

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Keywords

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