<p>U tezi je rešavan centralni problem – detekcija nule dvobitnom<br />stohastičkom digitalnom mernom metodom (SDMM). Formulisane su<br />dve metode detekcije nule primenom dvobitne SDMM. Po prvoj metodi<br />dinamička rezerva je oko 100 dB a po drugoj ne manje od 160 dB. Obe<br />metode su proverene teorijski, simulaciono i eksperimentalno. Pored<br />rešenja centralnog problema, dato je i nekoliko rešenja problema<br />koji su sa njim vezani. Hipoteza ove teze – „dvobitna SDMM je u opsegu<br />0 % - 10% FS bolja od standardne sempling metode (SSM)“ – je potpuno<br />potvrđena u svim razmatranim slučajevima.</p> / <p>The main goal of this thesis was null-detection using a two-bit stochastic<br />digital measurement method (SDMM). Two methods of null-detection, using<br />two-bit SDMM, were formulated. Using the first method around 100 dB of<br />dynamic reserve was achieved and using the second one no less than<br />160 dB. Both methods were theoretically, using simulation and experimentally<br />confirmed. In addition to the solution of the main problem, several other<br />related problems were also solved. The hypothesis of this thesis – “two-bit<br />SDMM in range from 0 % - 10 % FS is better than the standard sampling<br />method (SSM)” has been fully confirmed in all considered cases.</p>
| Identifer | oai:union.ndltd.org:uns.ac.rs/oai:CRISUNS:(BISIS)104132 |
| Date | 26 June 2017 |
| Creators | Vujičić Bojan |
| Contributors | Mitrović Zoran, Sovilj Platon, Kovačević Dragan, Spasić-Jokić Vesna, Pejić Dragan |
| Publisher | Univerzitet u Novom Sadu, Fakultet tehničkih nauka u Novom Sadu, University of Novi Sad, Faculty of Technical Sciences at Novi Sad |
| Source Sets | University of Novi Sad |
| Language | Serbian |
| Detected Language | English |
| Type | PhD thesis |
Page generated in 0.0021 seconds