Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aristotelis Bizopoulos"'
Autor:
Pavlos, Lazaridis, Emmanouil, Tziris, Bruce, Mehrdadi, Violeta, Holmes, Ian, Glover, Zaharias, Zaharis, Aristotelis, Bizopoulos, John, Cosmas
Publikováno v:
19th International Conference on Communications (CSCC'15)
Broadcasting antenna array null filling is a very\ud challenging problem for antenna design optimization. This paper\ud compares five antenna design optimization algorithms (Differential\ud Evolution, Particle Swarm, Taguchi, Invasive Weed, Adaptive\
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::1bfecd9835284501ea053f2cbcf6c884
https://eprints.hud.ac.uk/id/eprint/25658/1/WSEAS_Zakynthos_2015_Broadcasting_array_optimization.pdf
https://eprints.hud.ac.uk/id/eprint/25658/1/WSEAS_Zakynthos_2015_Broadcasting_array_optimization.pdf
Autor:
Spiridon Zettas, John Cosmas, Dimitrios Drogoudis, Ian Glover, Aristotelis Bizopoulos, Pavlos I. Lazaridis, Stylianos Kasampalis, Lidija Paunovska, Zaharias D. Zaharis
Publikováno v:
BMSB
Coverage prediction is of prime importance for TV broadcasting. A classic model used for TV coverage prediction is the Longley-Rice ITM (Irregular Terrain Model). Other well-known multiple knife-edge diffraction models are the Epstein-Peterson, Deygo
Autor:
Aristotelis Bizopoulos, Zaharias D. Zaharis, Pavlos I. Lazaridis, John Cosmas, Stylianos Kasampalis, Spyridon Zettas
Publikováno v:
BMSB
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2014
IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2014
This paper compares precision field-strength\ud measurements taken by a Rohde & Schwarz FSH-3\ud portable spectrum analyzer with simulation results derived\ud from the ITM coverage prediction model (Irregular\ud Terrain Model), also known as NTIA-ITS
Autor:
Aristotelis Bizopoulos, John Cosmas, Pavlos I. Lazaridis, Spyridon Zettas, Stylianos Kasampalis, Zaharias D. Zaharis
Publikováno v:
BMSB
Digital broadcasting services require higher prediction accuracy than traditional analogue networks because digital services are planned with tighter margins on the received signal strength and interference. With the rapid deployment of digital TV, t