Physics
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsm43d..02k&link_type=abstract
American Geophysical Union, Fall Meeting 2006, abstract #SM43D-02
Physics
0520 Data Analysis: Algorithms And Implementation, 2752 Mhd Waves And Instabilities (2149, 6050, 7836), 2790 Substorms
Scientific paper
In this contribution we extend a series of previous works reported on AGU Fall Meetings (M. S. Diallo, M. Kulesh et al. (2003) Eos. Trans. AGU, 84(46), Abstract S22B-0442; M. S. Diallo, M. Kulesh et al. (2004) Eos Trans. AGU, 85(47), Abstract S31B-1063) and focused on investigation of signal's polarization attributes using the continuous wavelet transform. In these papers we proposed a method to map instantaneous polarization attributes of seismic signals in the wavelet domain and explicitly relate these attributes with the wavelet transform coefficients of the analyzed signal. In this work we apply our polarization method to a filtering of the geomagnetic field data and an examination of characteristics of Pi2 pulsations. Pi2 pulsations are defined as geomagnetic field variations with a period range of 40-150 s and an irregular waveform. The wavelet analysis is an effective method of Pi2 pulsations' investigations, for example we successfully applied the discrete wavelet transform to the development of an algorithm to detect Pi2 pulsations (M. Nose et al. (1998) Earth Planet. and Space, 50, p.773-783 and M. Nose et al. (2006) Int. Conf. Substorms-8). Here we have shown some merits of use of the continuous wavelet transform for the Pi2 pulsations' analysis. First we used our polarization method for the geomagnetic field data from the MSR, KAK, GUA, SMA and BLM observatories and showed some correlations between the polarization parameters of pulsation and the station's position (nightside or dayside). Secondly we considered the signal's north components of pair of station and demonstrated a time-frequency variations of phase difference between two stations during the pulsation. In the third place we have used known polarization properties of Pi2 pulsation and have developed an algorithm to filter Pi2 pulsation from source record. Using the geomagnetic field data from the HER and KAK observatory, we have tested the algorithm and have shown that the polarization filter picks out the Pi2 pulsation more concisely than Fourier band-pass filter.
Holschneider Matthias
Kulesh M.
Nose Mikiha
No associations
LandOfFree
Polarization Analysis of Pi2 Pulsations Using Continuous Wavelet Transform does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Polarization Analysis of Pi2 Pulsations Using Continuous Wavelet Transform, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Polarization Analysis of Pi2 Pulsations Using Continuous Wavelet Transform will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-974041