Wavelet-Packet Transformation Analysis of Seismic Signals Recorded from a Tornado in Ohio

2002 ◽  
Vol 92 (6) ◽  
pp. 2352-2368
Author(s):  
R. K. Vincent
Keyword(s):  
Wavelet Packet ◽  
Seismic Signals ◽  
Wavelet Packet Transformation

A Novel Illumination Compensation Method Using Wavelet Packet Transformation

2011 ◽  
Vol 317-319 ◽  
pp. 897-900
Author(s):  
Zhen Hua Zhao ◽  
Xiao Hong Hao
Keyword(s):  
Multiplicative Noise ◽  
Additive Noise ◽  
Recognition Performance ◽  
Wavelet Packet ◽  
Recognition Rate ◽  
Face Image ◽  
Experimental Results ◽  
Illumination Compensation ◽  
Wavelet Packet Transformation ◽  
Facial Images

A novel illumination compensate method is proposed in this paper to improve recognition performance. A modified lighting model called Lambertin which includes additive noise and multiplicative noise are presented firstly. Then, additive noise is removed by using wavelet packet transformation. Next, the processed image is transformed into logarithm domain and the multiplicative noise, which has been named additive noise, is removed by means of the same above algorithm. Finally, a compensated face image is obtained. We examine the proposed method on Yale extended B database compared with other methods. Experimental results show that our algorithm improves by 3%~12% recognition rate. It can effectively adjust the facial images for varying illumination conditions and also improve the recognition performance and robustness.

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

2015 ◽  
Vol 26 (s1) ◽  
pp. S1067-S1075 ◽  
Author(s):  
Yifeng Li ◽  
Lihui Zhang ◽  
Baohui Li ◽  
Xiaoyang Wei ◽  
Guiding Yan ◽  
...  
Keyword(s):  
Wavelet Packet ◽  
Application Study ◽  
Eeg Data ◽  
Wavelet Packet Transformation

scholarly journals A Comparative Study of EMG Indices in Muscle Fatigue Evaluation Based on Grey Relational Analysis during All-Out Cycling Exercise

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Lejun Wang ◽  
Yuting Wang ◽  
Aidi Ma ◽  
Guoqiang Ma ◽  
Yu Ye ◽  
...  
Keyword(s):  
Muscle Fatigue ◽  
Power Output ◽  
Vastus Lateralis ◽  
Wavelet Packet ◽  
Vastus Lateralis Muscle ◽  
Cycling Exercise ◽  
Warm Up ◽  
Wavelet Packet Transformation ◽  
Fatigue Evaluation ◽  
Grey Relational

The increased popularization of cycling has brought an increase in cycling-related injuries, which has been suggested to be associated with muscle fatigue. However, it still remains unclear on the utility of different EMG indices in muscle fatigue evaluation induced by cycling exercise. In this study, ten cyclist volunteers performed a 30-second all-out cycling exercise after a warm-up period. Surface electromyography (sEMG) from vastus lateralis muscle (VL) and power output and cadence were recorded and EMG RMS, MF and MPF based on Fourier Transform, MDF and MNF based on wavelet packet transformation, and C(n) based on Lempel–Ziv complexity algorithm were calculated. Utility of the indices was compared based on the grey rational grade of sEMG indices and power output and cadence. The results suggested that MNF derived from wavelet packet transformation was significantly higher than other EMG indices, indicating the potential application for fatigue evaluation induced by all-out cycling exercise.

scholarly journals Comparison of Wavelet Packet and Wavelet in Solving Arbitrary Array of Parallel Wires Integral Equations in Electromagnetics

2020 ◽  
Vol 9 (3) ◽  
pp. 8-14
Author(s):  
M. Bayjja ◽  
G. Alsharahi ◽  
M. Aghoutane ◽  
N. A. Touhami
Keyword(s):  
Integral Equation ◽  
Method Of Moments ◽  
Direct Method ◽  
Wavelet Packet ◽  
Dense Matrix ◽  
Impedance Matrix ◽  
Electric Field Integral Equation ◽  
Electromagnetic Problems ◽  
Number Of Zeros ◽  
Wavelet Packet Transformation

In this paper, wavelets transformation (WT) and wavelet packet transformation (WPT) are used in solving, by the method of moments, a semicircular array of parallel wires electric field integral equation.  First, the integral equation is solved by applying the direct method of moments via point-matching procedure, results in a linear system with a dense matrix.  Therefore, wavelet transformation and wavelet packet transformation are used to sparsify the impedance matrix, using two categories of wavelets functions, Biorthogonal (bior2.2) and Orthogonal (db4) wavelets.  The far-field scattering patterns and the comparison between wavelets transformation and wavelet packet transformation in term number of zeros in impedance matrix and CPU Time reduction are presented. Numerical results are presented to identify which technique is best suited to solve such scattering electromagnetic problems and compared with published results.

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