9 January 2008 Research of signal denoising method on an improved wavelet threshold
Author Affiliations +
Proceedings Volume 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials; 67941E (2008) https://doi.org/10.1117/12.784390
Event: ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 2007, Gifu, Japan
Abstract
Based on the Multi-analysis wavelet threshold denosing method which is put forward by D. L. Dohono and I. M. Johnstone, a new threshold function is posed. This new threshold function has many advantages over the classical soft and hard threshold function. It is clear in physics meaning and simple in expression. The experimental results show that this improved method is effective in removing white noise, and gives better RMSE performance and SNR gains than soft and hard threshold methods, and makes it possible to embody the advantages of the wavelet threshold denoising method more fully.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chengbo Yu, Huafeng Qin, Lian Zhang, "Research of signal denoising method on an improved wavelet threshold", Proc. SPIE 6794, ICMIT 2007: Mechatronics, MEMS, and Smart Materials, 67941E (9 January 2008); doi: 10.1117/12.784390; https://doi.org/10.1117/12.784390
PROCEEDINGS
5 PAGES


SHARE
RELATED CONTENT

Improving the quality of the ECG signal by filtering in...
Proceedings of SPIE (September 28 2016)
Wavelet denoising of pulsed laser radar signals
Proceedings of SPIE (November 04 2010)
Denoising to the pulsed laser radar return waves based on...
Proceedings of SPIE (December 05 2012)
Continuous-time signal analysis using wavelets
Proceedings of SPIE (April 06 1995)
Iterative projective wavelet methods for denoising
Proceedings of SPIE (November 13 2003)

Back to Top