The application study of wavelet packet transformation in the de-noising of dynamic EEG data.

This paper briefly describes the basic principle of wavelet packet analysis, and on this basis introduces the general principle of wavelet packet transformation for signal den-noising. The dynamic EEG data under +Gz acceleration is made a de-noising treatment by using wavelet packet transformation, and the de-noising effects with different thresholds are made a comparison. The study verifies the validity and application value of wavelet packet threshold method for the de-noising of dynamic EEG data under +Gz acceleration.

[1]  S. A. Raza Naqvi,et al.  Adaptive geometric wavelet transform based two dimensional data compression , 2013, 2013 7th IEEE GCC Conference and Exhibition (GCC).

[2]  Lin Yue,et al.  A ridge extraction algorithm based on partial differential equations of the wavelet transform , 2014, 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP).

[3]  M. Sushama,et al.  Power transformer protection using wavelet packet transform , 2014, 2014 International Conference on Computer Communication and Informatics.

[4]  Maoshen Jia,et al.  Speech enhancement using the combination of adaptive wavelet threshold and spectral subtraction based on wavelet packet decomposition , 2012, 2012 IEEE 11th International Conference on Signal Processing.

[5]  Zhengmao Ye,et al.  Quantitative effects of discrete wavelet transforms and wavelet packets on aerial digital image denoising , 2009, 2009 6th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

[6]  Andrzej Drygajlo,et al.  Perceptual speech coding and enhancement using frame-synchronized fast wavelet packet transform algorithms , 1999, IEEE Trans. Signal Process..

[7]  Wang Fu-ming.  Signal De-noising Based on Wavelet Packets Transform , 2007 .

[8]  Bryan Usevitch,et al.  A tutorial on modern lossy wavelet image compression: foundations of JPEG 2000 , 2001, IEEE Signal Process. Mag..

[9]  Wenxing Bao,et al.  Romote sensing image fusion based on wavelet packet analysis , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.

[10]  Yu Wen-xin.  Signal De-noising in Wavelet Packet Based on An Improved-threshold Function , 2010 .

[11]  S. Bharkad,et al.  Fingerprint matching using discreet wavelet packet transform , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[12]  Gwénolé Quellec,et al.  Fast Wavelet-Based Image Characterization for Highly Adaptive Image Retrieval , 2012, IEEE Transactions on Image Processing.

[13]  Wu Zuoju,et al.  A Study of Threshold De-noising Method and Its Application in Signal Processing , 2014, 2014 Fifth International Conference on Intelligent Systems Design and Engineering Applications.

[14]  Manoj Kumar,et al.  CT image noise reduction based on adaptive wiener filtering with Wavelet packet thresholding , 2014, 2014 International Conference on Parallel, Distributed and Grid Computing.

[15]  Liu Xiao-shuang.  Application of the Wavelet Packet Analysis Method in Vibration Signal Denoise , 2006 .

[16]  Ronald G. Resmini,et al.  Detection of Sulfur Dioxide in AIRS Data With the Wavelet Packet Subspace , 2009, IEEE Geoscience and Remote Sensing Letters.

[17]  M. Karthikeyan,et al.  A wavelet packet and fuzzy based digital image watermarking , 2013, 2013 IEEE International Conference on Computational Intelligence and Computing Research.

[18]  Ding Xi-bo.  Design of Digital Filter Based on Wavelet Analysis , 2005 .

[19]  Gorkem Serbes,et al.  Directional dual-tree complex wavelet packet transform , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[20]  Weijun Su,et al.  Wavelet Transform Threshold Noise Reduction Methods in the Oil Pipeline Leakage Monitoring and Positioning System , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.

[21]  Lina Liu,et al.  Using stationary wavelet transformation for signal denoising , 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[22]  N. R. Raajan,et al.  Estimation of wavelet filters in color image coding using WWT technique , 2013, 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES.

[23]  Jie Gu.  Wavelet Threshold De-noising of Power Quality Signals , 2009, 2009 Fifth International Conference on Natural Computation.

[24]  Jian-Ping Li,et al.  Image edge detection scheme using wavelet transform , 2014, 2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP).

[25]  Zhang Yun-tao.  Application of the Wavelet Packet Analysis MethodBased on MATLAB in Signal Denoise , 2004 .

[26]  Li-Xiang Xu,et al.  The de-noising method of threshold function based on wavelet , 2014, 2014 International Conference on Wavelet Analysis and Pattern Recognition.

[27]  Quan Yu-xi.  Wavelet packet threshold approach for denoising non-stationary signal , 2007 .

[28]  Xin Zhang,et al.  Application of improved wavelet threshold de-noising algorithm in work piece inspection , 2013, 2013 6th International Congress on Image and Signal Processing (CISP).

[29]  Mohammad Ashouri Golroudbari.  Signal denoising based on wavelet transform using a multi-level threshold function , 2013, 2013 7th International Conference on Application of Information and Communication Technologies.

[30]  Yue Gao,et al.  Adaptive threshold for energy detector based on Discrete Wavelet Packet Transform , 2012, Wireless Telecommunications Symposium 2012.

[31]  Erik Marchi,et al.  Audio onset detection: A wavelet packet based approach with recurrent neural networks , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[32]  Shang Xiao-yan,et al.  Improvement of wavelet threshold and application on thin-film thickness wideband monitoring system , 2010, 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE).

[33]  Jin Huang,et al.  A novel method for induction motors stator interturn short circuit fault diagnosis by wavelet packet analysis , 2005, 2005 International Conference on Electrical Machines and Systems.

[34]  Guo Xi-jin.  Application of Wavelet Analysis in Elimination Noise of Signal , 2005 .

[35]  Application of a Modified Algorithm for Wavelet Threshold De-Noising Based on the Ultrasonic Signal of Optical Fiber Defect , 2009, 2009 2nd International Congress on Image and Signal Processing.