11 SETI Program at the Medicina INAF Radioastronomy …
113
for the post-processing algorithms. Each of these transforms works correctly for
specific categories of signals and doesn’t work well for other types and presents an
N log N computation charge. These math transforms also introduce serious system
cache memory problems that arose with handling a vast array of data. The extremely
complicated task to verify the presence of an intelligent signal out of the noise leads
to a particular approach that could imply the evaluation of the entropy as defined by
Shannon [7] and Leidich [8].
11.3 Conclusion
Up to now, no artificial signals from space have shown up at the radiotelescopes
output. The common idea is that we have to change the search paradigm. For these
reasons, future activities will be oriented to the development of new algorithms as
the KLT or other types of math transforms able to detect any modulated weak signal
and, at the same time, start to enter into the vast field of the information Entropy
evaluation. Generally speaking, we have to change both the concepts of both “how”
and “what” to search. It will undoubtedly be a very complex challenge.
References
1. D. Werthimer et al., The Serendip IV Arecibo sky survey—a new era in bioastronomy. Astro.
Soc. Pacific Conf. Ser. 213, 479–483 (2000)
2. C. Maccone, The KLT (Karhunen–Loève transform) to extend SETI searches to broad-band and
extremely feeble signals. Acta Astronaut. 67, 1427–1439 (2010)
3. C. Maccone, Mathematical SETI, 2012. A 724-Pages Book Published by Praxis-Springer in the
Fall of 2012. ISBN: ISBN-10:3642274366 |ISBN-13:978-3642274367|Edition: 2012
4. S. Montebugnoli, J. Monari, C. Bortolotti, A. Cattani, A. Maccaferri, M. Poloni, P.P. Pari, A.
Orlati, S. Righini, S. Poppi, M. Roma, M. Teodorani, D. Caliendo, C. Maccone, C.B. Cosmovici,
N. D’Amico, Acta Astronautica 58, 222–229 (2006)
5. F. Schillirò, S. Pluchino, C. Maccone, S. Montebugnoli, IstitutoNazionale di Astrofisica
(INAF)—Istituto di Radioastronomia (IRA) Rapporto Tecnico, La KL Transform: considerazioni generali sulle metodologie di analisi ed impiego nel campo della Radioastronomia,
Technical Report (in Italian only), January 2007
6. C. Maccone, Innovative SETI by the KLT, in Proceedings of the “Bursts, Pulses and Flickering”
Conference held at Kerastari, Greece, June 18, 2007 at POS (Proceedings of Science), https://
pos.sissa.it//archive/conferences/056/034/Dynamic2007_034.pdfS
7. Olivier Rioul LTCI, Telécom ParisTech Université Paris-Saclay 75013 Paris, France CMAP
Ecole Polytechniqué Université Paris-Saclay 91128 Palaiseau, France “This is IT: A Primer on
Shannon’s Entropy and Information” L’Information, Séminaire Poincaré XXIII (2018), pp. 43–
77
8. R. Leidich, Introduction to Entropy Transforms, https://agnentropy.blogspot.com. Accessed on
11 May 2017
113
for the post-processing algorithms. Each of these transforms works correctly for
specific categories of signals and doesn’t work well for other types and presents an
N log N computation charge. These math transforms also introduce serious system
cache memory problems that arose with handling a vast array of data. The extremely
complicated task to verify the presence of an intelligent signal out of the noise leads
to a particular approach that could imply the evaluation of the entropy as defined by
Shannon [7] and Leidich [8].
11.3 Conclusion
Up to now, no artificial signals from space have shown up at the radiotelescopes
output. The common idea is that we have to change the search paradigm. For these
reasons, future activities will be oriented to the development of new algorithms as
the KLT or other types of math transforms able to detect any modulated weak signal
and, at the same time, start to enter into the vast field of the information Entropy
evaluation. Generally speaking, we have to change both the concepts of both “how”
and “what” to search. It will undoubtedly be a very complex challenge.
References
1. D. Werthimer et al., The Serendip IV Arecibo sky survey—a new era in bioastronomy. Astro.
Soc. Pacific Conf. Ser. 213, 479–483 (2000)
2. C. Maccone, The KLT (Karhunen–Loève transform) to extend SETI searches to broad-band and
extremely feeble signals. Acta Astronaut. 67, 1427–1439 (2010)
3. C. Maccone, Mathematical SETI, 2012. A 724-Pages Book Published by Praxis-Springer in the
Fall of 2012. ISBN: ISBN-10:3642274366 |ISBN-13:978-3642274367|Edition: 2012
4. S. Montebugnoli, J. Monari, C. Bortolotti, A. Cattani, A. Maccaferri, M. Poloni, P.P. Pari, A.
Orlati, S. Righini, S. Poppi, M. Roma, M. Teodorani, D. Caliendo, C. Maccone, C.B. Cosmovici,
N. D’Amico, Acta Astronautica 58, 222–229 (2006)
5. F. Schillirò, S. Pluchino, C. Maccone, S. Montebugnoli, IstitutoNazionale di Astrofisica
(INAF)—Istituto di Radioastronomia (IRA) Rapporto Tecnico, La KL Transform: considerazioni generali sulle metodologie di analisi ed impiego nel campo della Radioastronomia,
Technical Report (in Italian only), January 2007
6. C. Maccone, Innovative SETI by the KLT, in Proceedings of the “Bursts, Pulses and Flickering”
Conference held at Kerastari, Greece, June 18, 2007 at POS (Proceedings of Science), https://
pos.sissa.it//archive/conferences/056/034/Dynamic2007_034.pdfS
7. Olivier Rioul LTCI, Telécom ParisTech Université Paris-Saclay 75013 Paris, France CMAP
Ecole Polytechniqué Université Paris-Saclay 91128 Palaiseau, France “This is IT: A Primer on
Shannon’s Entropy and Information” L’Information, Séminaire Poincaré XXIII (2018), pp. 43–
77
8. R. Leidich, Introduction to Entropy Transforms, https://agnentropy.blogspot.com. Accessed on
11 May 2017