A blind transform based approach for the detection of isolated astrophysical pulses

Document Type

Conference Proceeding

Publication Date

2017

College/Unit

Regional Research Institute

Abstract

his paper presents a blind algorithm for the automatic detection of isolated astrophysical pulses. The detection algorithm is applied to spectrograms (also known as “filter bank data” or “the (t,f) plane”). The detection algorithm comprises a sequence of three steps: (1) a Radon transform is applied to the spectrogram, (2) a Fourier transform is applied to each projection parametrized by an angle, and the total power in each projection is calculated, and (3) the total power of all projections above 90° is compared to the total power of all projections below 90° and a decision in favor of an astrophysical pulse present or absent is made. Once a pulse is detected, its Dispersion Measure (DM) is estimated by fitting an analytically developed expression for a transformed spectrogram containing a pulse, with varying value of DM, to the actual data. The performance of the proposed algorithm is numerically analyzed.

Source Citation

M. Alkhweldi, N. A. Schmid and R. M. Prestage, "A blind transform based approach for the detection of isolated astrophysical pulses," 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, 2017, pp. 3944-3948. https://doi.org/10.1109/ICASSP.2017.7952896

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