TY - GEN

T1 - An approximation of the GLRT for real time muon detection

AU - Primor, David

AU - Mikenberg, Giora

AU - Messer, Hagit

PY - 2008

Y1 - 2008

N2 - The problem of detecting muons in a particle detector is considered. The tracks of high momentum muons can be considered as straight lines, and thus well known techniques for line detection, such as the Hough transform, can be used. In this paper, we show that the Hough transform, which is commonly used in High Energy Physics, can be interpreted as an approximation of the Generalized Likelihood Ration Test (GLRT). We consider the case of a muon detector which consists of a set of sub-detectors, where each sub-detector provides a random activity measurement. Using the probability density functions of these activity measurements, a GLRT for muon detection is calculated, and its performance - when approximated by the Hough transform - is demonstrated.

AB - The problem of detecting muons in a particle detector is considered. The tracks of high momentum muons can be considered as straight lines, and thus well known techniques for line detection, such as the Hough transform, can be used. In this paper, we show that the Hough transform, which is commonly used in High Energy Physics, can be interpreted as an approximation of the Generalized Likelihood Ration Test (GLRT). We consider the case of a muon detector which consists of a set of sub-detectors, where each sub-detector provides a random activity measurement. Using the probability density functions of these activity measurements, a GLRT for muon detection is calculated, and its performance - when approximated by the Hough transform - is demonstrated.

KW - GLRT

KW - Hough transform

KW - Line detection

KW - Muon track detection

UR - http://www.scopus.com/inward/record.url?scp=51449101324&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2008.4518439

DO - 10.1109/ICASSP.2008.4518439

M3 - פרסום בספר כנס

AN - SCOPUS:51449101324

SN - 1424414849

SN - 9781424414840

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 3633

EP - 3636

BT - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP

Y2 - 31 March 2008 through 4 April 2008

ER -