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Statistical detection and classification of transient signals in low-bit sampling time-domain signals

Abstract: 

We investigate the performance of the generalized Spectral Kurtosis (SK) estimator in detecting and discriminating natural and artificial very short duration transients in the 2-bit sampling time domain Very-Long-Baseline Interferometry (VLBI) data. We demonstrate that, after a 32-bit FFT operation is performed on the 2-bit time domain voltages, these two types of transients become distinguishable from each other in the spectral domain. Thus, we demonstrate the ability of the Spectral Kurtosis estimator to automatically detect bright astronomical transient signals of interests – such as pulsar or fast radio burst (FRB) – in VLBI data streams that have been severely contaminated by unwanted radio frequency interference.

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Paper Details

Authors:
Gelu M. Nita, Aard Keimpema, Zsolt Paragi
Submitted On:
18 November 2018 - 4:48pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Gelu M. Nita
Paper Code:
1378
Document Year:
2018
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[1] Gelu M. Nita, Aard Keimpema, Zsolt Paragi, "Statistical detection and classification of transient signals in low-bit sampling time-domain signals", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3682. Accessed: Mar. 23, 2019.
@article{3682-18,
url = {http://sigport.org/3682},
author = {Gelu M. Nita; Aard Keimpema; Zsolt Paragi },
publisher = {IEEE SigPort},
title = {Statistical detection and classification of transient signals in low-bit sampling time-domain signals},
year = {2018} }
TY - EJOUR
T1 - Statistical detection and classification of transient signals in low-bit sampling time-domain signals
AU - Gelu M. Nita; Aard Keimpema; Zsolt Paragi
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3682
ER -
Gelu M. Nita, Aard Keimpema, Zsolt Paragi. (2018). Statistical detection and classification of transient signals in low-bit sampling time-domain signals. IEEE SigPort. http://sigport.org/3682
Gelu M. Nita, Aard Keimpema, Zsolt Paragi, 2018. Statistical detection and classification of transient signals in low-bit sampling time-domain signals. Available at: http://sigport.org/3682.
Gelu M. Nita, Aard Keimpema, Zsolt Paragi. (2018). "Statistical detection and classification of transient signals in low-bit sampling time-domain signals." Web.
1. Gelu M. Nita, Aard Keimpema, Zsolt Paragi. Statistical detection and classification of transient signals in low-bit sampling time-domain signals [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3682