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1. |
Record Nr. |
UNINA990001497900403321 |
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Autore |
Kennett, Brian Leslie Norman <1948- > |
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Titolo |
The seismic wavefield / B.L.N. Kennett |
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Pubbl/distr/stampa |
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Cambridge : Cambridge University Press, 2001-2002 |
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ISBN |
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0-521-00663-5 |
0-521-00665-1 |
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Descrizione fisica |
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2 v. (x, 370; xii, 534 p.) : ill. ; 26 cm |
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Locazione |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Vol. 1: Introduction and theoretical development. Vol. 2: Interpretation of seismograms on regional and global scales. |
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2. |
Record Nr. |
UNISA990001339760203316 |
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Autore |
PRIVITERA, Aurelio G. |
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Titolo |
Saffo Fr. 31, 13 L.P. / Aurelio Privitera |
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Pubbl/distr/stampa |
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Wiesbaden [Franz Steiner Verlag] : 1969 |
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Descrizione fisica |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Estratto da: Hermes Zeitschrift fur Klassische Philologie, Band 97 (1969), heft 3, P. 267-272 |
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3. |
Record Nr. |
UNINA9910150455903321 |
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Autore |
Zhao Guodong |
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Titolo |
Advanced Sensing Techniques for Cognitive Radio / / by Guodong Zhao, Wei Zhang, Shaoqian Li |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (X, 76 p. 39 illus., 26 illus. in color.) |
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Collana |
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SpringerBriefs in Electrical and Computer Engineering, , 2191-8112 |
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Disciplina |
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Soggetti |
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Electrical engineering |
Computer organization |
Communications Engineering, Networks |
Computer Systems Organization and Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This SpringerBrief investigates advanced sensing techniques to detect |
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and estimate the primary receiver for cognitive radio systems. Along with a comprehensive overview of existing spectrum sensing techniques, this brief focuses on the design of new signal processing techniques, including the region-based sensing, jamming-based probing, and relay-based probing. The proposed sensing techniques aim to detect the nearby primary receiver and estimate the cross-channel gain between the cognitive transmitter and primary receiver. The performance of the proposed algorithms is evaluated by simulations in terms of several performance parameters, including detection probability, interference probability, and estimation error. The results show that the proposed sensing techniques can effectively sense the primary receiver and improve the cognitive transmission throughput. Researchers and postgraduate students in electrical engineering will find this an exceptional resource. |
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