Pregled bibliografske jedinice broj: 1029171
A system for compressive sensing of analog signals
A system for compressive sensing of analog signals // Abstract Book of Fourth International Workshop on Data Science (IWDS 2019) / Lončarić, Sven ; Šmuc, Tomislav (ur.).
Zagreb: Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, 2019. str. 16-19 (poster, domaća recenzija, prošireni sažetak, znanstveni)
CROSBI ID: 1029171 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A system for compressive sensing of analog signals
Autori
Vlašić, Tin ; Pavić, Ivan ; Sever, Karlo ; Oštrić, Lucija ; Papa, Vito ; Seršić, Damir
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
Abstract Book of Fourth International Workshop on Data Science (IWDS 2019)
/ Lončarić, Sven ; Šmuc, Tomislav - Zagreb : Znanstveni centar izvrsnosti za znanost o podatcima i kooperativne sustave, 2019, 16-19
Skup
4rd International Workshop on Data Science (IWDS 2019)
Mjesto i datum
Zagreb, Hrvatska, 15.10.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Domaća recenzija
Ključne riječi
signal sampling and reconstruction, embedded system compressed sensing, principal component analysis
Sažetak
We propose a system for compressive sensing of analog signals based on the front-end that mixes the input signal of some statistical distribution with eigenvectors obtained by principal component analysis. The signal is reconstructed by mapping it back with the transpose of the measurement matrix. Instead of computationally complex, time consuming solving of the l1 optimization problem, the signal is recovered only by the multiplications which are perfecty suited for embedded devices. We present an acquisition system consisting of the proposed front-end and a back-end that is realized on the Zynq-7000 System-on-Chip.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-2625 - Iznad Nyquistove granice (BeyondLimit) (Seršić, Damir, HRZZ ) ( CroRIS)
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb