|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2009 WRI World Congress on Computer Science and Information Engineering
An Optimized Algorithm for Filtering the Noise in Weak Signal Based on TIDWT
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
| ASCII Text | x | ||
| Ping Wang, Jinghai Zhang, Cuishuang Guo, "An Optimized Algorithm for Filtering the Noise in Weak Signal Based on TIDWT," Computer Science and Information Engineering, World Congress on, vol. 6, pp. 442-446, 2009 WRI World Congress on Computer Science and Information Engineering, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CSIE.2009.85, author = {Ping Wang and Jinghai Zhang and Cuishuang Guo}, title = {An Optimized Algorithm for Filtering the Noise in Weak Signal Based on TIDWT}, journal ={Computer Science and Information Engineering, World Congress on}, volume = {6}, year = {2009}, isbn = {978-0-7695-3507-4}, pages = {442-446}, doi = {http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.85}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Computer Science and Information Engineering, World Congress on TI - An Optimized Algorithm for Filtering the Noise in Weak Signal Based on TIDWT SN - 978-0-7695-3507-4 SP442 EP446 A1 - Ping Wang, A1 - Jinghai Zhang, A1 - Cuishuang Guo, PY - 2009 VL - 6 JA - Computer Science and Information Engineering, World Congress on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.85
This paper presents a new optimized algorithm of weak signal filtering based on translation invariant discrete wavelet transform. On the basis of wavelet domain threshold filtering algorithm based on orthogonal wavelet transform, translation invariant discrete wavelet transform threshold optimized denoising algorithm is introduced in this paper. This method is more suitable for weak signal filtering of low signal-noise ratio and the desired signals submerged in noise can be well detected without distortion. Computer simulation shows that the filtering effect of this optimized algorithm for weak signals is much improved, not only in the appearance but also in signal-noise ratio and mean-square deviation of signals after optimized.
Citation:
Ping Wang, Jinghai Zhang, Cuishuang Guo, "An Optimized Algorithm for Filtering the Noise in Weak Signal Based on TIDWT," csie, vol. 6, pp.442-446, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
Usage of this product signifies your acceptance of the Terms of Use.