TY - GEN
T1 - On signal denoising using quasi real-time Wavelet algorithm in DSP embedded system
AU - Zhao, Jun
AU - Liu, Weiguo
PY - 2008
Y1 - 2008
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
UR - http://www.scopus.com/inward/record.url?scp=67249166277&partnerID=8YFLogxK
U2 - 10.1109/ICOSP.2008.4697065
DO - 10.1109/ICOSP.2008.4697065
M3 - 会议稿件
AN - SCOPUS:67249166277
SN - 9781424421794
T3 - International Conference on Signal Processing Proceedings, ICSP
SP - 46
EP - 51
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 -