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

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2 Author(s)
Jun Zhao ; College of Automation, Northwestern Polytechnical University, xi¿an, Shaan Xi Province, China ; Weiguo Liu

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 sigmaoriginal=1.00000 to sigmadenoised=0.65589. The minimum processing period of the platform is 0.25 ms with 256 points moving data window. The effect was obvious in application of the signal denoising, which is used to measure liquid rate successfully.

Published in:

2008 9th International Conference on Signal Processing

Date of Conference:

26-29 Oct. 2008