Journal of Multimedia, Vol 8, No 3 (2013), 226-232, Jun 2013
doi:10.4304/jmm.8.3.226-232

Improved Signal Processing Algorithm Based on Wavelet Transform

Xiang Li, Haiyan Yao

Abstract


Wavelet analysis is a rapidly developing emerging discipline, at present; it has been widely used in practice. Study wavelet’s new theory, new method and new application have important theoretical significance and practical value. Based on the problem of poor performance of using traditional wavelet transformation algorithm in signal denoising, this paper puts forward a improved scheme based on tradeoff between soft and hard threshold, the scheme is established on the basis of traditional soft threshold, hard threshold, and the obtained estimated wavelet coefficients value of this scheme are between soft threshold and hard threshold methods, so call it the tradeoff between soft and hard threshold method. Implementation steps of the improved scheme based on soft and hard threshold tradeoff are, firstly establishing wavelet coefficient estimator of soft and hard threshold tradeoff method, and adding factor in threshold estimator, so as to adjust the size of the estimated wavelet coefficients. Simulation experiments show that the proposed soft, hard threshold tradeoff based signal threshold improved deniosing method shows a strong effect of the practical signal denoising, the obtained reconstructed signal SNR has been tremendously improved than the traditional denoising method.


Keywords


improved wavelet transform; Signal denoising; Signal processing; Threshold denoising

References


[1] Pan Quan, Zhang Lei, Meng Jin-li, Zhang Hong-cai. Wavelet filtering method and application [M]. Bei Jing: Tsinghua University Press, 2005.9, pp. 8-9 .
 
 
[2] Taleb-Ahmed, A.Hamad, D.Tilmant. Vehicle license plate recognition in marketing application Intelligent Vehicles Symposium. IEEE, 9-11 June 2003 90-94.
 
 
[3] H. M. Qi, Z. Q. Chen, L. M. Zhang, "Towards end-to-end delay bounds on WMNs based on statistical network calculus," in Proceedings of the 9th International Conference for Young Computer Scientists, pp. 493-497, Nov. 2008.
 
[4] Nicola Calabretta, Hyun-Do Jung, Harm Dorren. All-optical Label Swapping Techniques for Optical Packets at Bit-rate Beyond 160 Gb/s. Journal of Networks. Vol 5, No 11 (2010):1343-1349.
http://dx.doi.org/10.4304/jnw.5.11.1343-1349
 
[5] Yanamura Y, Goto M.,Nishiyama D, Soga M, Nakatani H, Saji H. Extraction and tracking of the license plate using Hough transform and voted block matching. IEEE IV2003 Intelligent Vehicles Symposium. 2003: 243-246.
 
 
[6] Zhou Wei. Wavelet analysis of senior technical with MATLAB [M]. Xi an: Xidian University Press, 2005.12, pp.1.
 
 
[7] K. Xiong, Z. D. Qiu, H. K. Zhang, C. S. Li, H. C. Chao, "A scalable fast forwarding approach for IP networks," International Journal of Internet Protocol Technology, vol. 3, no. 2, 2008, pp. 119-127.
http://dx.doi.org/10.1504/IJIPT.2008.020469
 
[8] Y. M. Jiang, "Delay bound and packet scale rate guarantee for some expedited forwarding networks," Computer Networks, vol. 50, no. 1, 2006, pp. 15-28.
http://dx.doi.org/10.1016/j.comnet.2005.03.002
 
[9] Y. Jia, J. Wang, C. Zhang, X. -S. Hua. Finding image exemplars using fast sparse anity propagation. In: Proc. ACM SIGMM International Conference on Multimedia, 2008, pp. 639 – 642.
PMid:19440505 PMCid:2679610
 
[10] L. M. Zhang, D. Z. Huang, Z. G. Chen, "Models of bounds on end-to-end delay of long-range dependence traffic based on fractal leak bucket," Journal on Communications, vol. 29, no. 7, 2008, pp. 32-43.
 
[11] J. G. Ma, M. X. Xi, Y. M. Lin, Y. P. Li, "Chinese Internet routerlevel hop count measurement and analysis," Application Research on Computer, vol. 25, no. 27, 2008, pp. 2112-2114
 
[12] Ke Xiong, Yu Zhang, Zheng-ding Qiu, Dong-mei Sun, Ya-juan Qin. QoS-enhanced TNPOSS Network Model and its E2E Delay Bound for Multimedia Flows. Journal of Networks. Vol 4, No 8 (2009):795-802.
http://dx.doi.org/10.4304/jnw.4.8.795-802
 
[13] 3GPP TS 36.211 V9.1.0, "Evolved universal terrestrial radio access (E-UTRA); physical channel and modulation," www.3gpp.org, Mar. 2010.
 
 
[14] Young-il Min, Hwan-min Park, Jun-hee Jang, Keun-dae Kim, Hyung-jin Choi. The Enhanced Decoding Method for QO-SFBC System in Frequency Selective Fading Channel Environment. Journal of Networks. Vol 6, No 3 (2011):378-386.
 
[15] P.Seddighian et al., 'All-optical swapping of spectral amplitude code labels for packet switching,' Proc. Photonics in Switching 2007, San Francisco, USA, pp. 143-144, 2007.
 
 
[16] Y. Liu et al.,'Error-free 320 Gb/s all-optical wavelength conversion using a semiconductor optical amplifier,' Journal of Lightwave Techn. vol. 25, pp. 103-108, 2007.
http://dx.doi.org/10.1109/JLT.2006.888484
 
[17] H.W. Wang, D.W. Lin, and T.H. Sang, "OFDM signal detection in doubly selective channels with whitening of residual inter-carrier interference and noise," IEEE VTC, pp. 1-5, May, 2010.
 
 
[18] H. M. Park, Y. I. Min, J. S. Han, and H. J. Choi, "Enhanced detection method for 3GPP LTE QO-SFBC system in frequency selective Rayleigh fading channel environment," ICUIMC, pp. 558–562, Feb. 2010.
 
 
[19] J. Kim, S. L. Ariyavisitakul, and N. Seshadri, "STBC/SFBC for 4 transmit antennas with 1-bit feedback," IEEE ICC, pp. 3943–3947, May 2008.
 
 
[20] H. Y. Kong, and H. V. Khuong, "Performance analysis of space-time block coded cooperative wireless transmission in Rayleigh fading channels," KICS JCN, vol. 8, pp. 306–312, Sept. 2006.
 
[21] Haihui GAO, Jun MA, Haichun YANG, Chaoran CUI Construction of Tag Cloud for Query Result Summarization and Navigation. 2013 Vol. 9 (6) : 2509- 2516.
 
[22] I. S. Dhillon, Co-clustering documents and words using bipartite spectral graph partitioning, Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2001, pages: 269 -274.


Full Text: PDF


Journal of Multimedia (JMM, ISSN 1796-2048)

Copyright @ 2006-2014 by ACADEMY PUBLISHER – All rights reserved.