Odjel za obradu signala uključuje znanstvena područja poput teorije signala i sustava, teorije i primjene kodiranja, uporabe filtara, prijenosa signala, estimacije, detekcije, analize, prepoznavanja, sinteze te reprodukcije signala digitalnim ili analognim uređajima i tehnikama. Pojam signala uključuje audio i video signale, govor, slike, komunikacije, signal sonara, radara kao i medicinske, glazbene i druge signale.
Odjel za obradu signala
Poštovane članice i članovi Hrvatske sekcije IEEE,
Pozivamo Vas na predavanje u organizaciji Odjela za obradu signala Hrvatske sekcije IEEE i Zavoda za elektroničke sustave i obradbu informacija (ZESOI) koje će održati
Maja Jurišić Bellotti, mag. ing.
na Fakultetu elektrotehnike i računarstva Sveučilišta u Zagrebu
u srijedu 13. studenog 2019. godine u 15:00 sati u Knjižnici ZESOI.
Naslov predavanja je
Efficient Digital System Design Based on Optimization Methods
Predavanje je otvoreno za sve zainteresirane, a posebno pozivamo studente.
Reducing complexity of digital systems is highly welcomed in every signal processing application. One technique for such a reduction is based on utilizing sparse systems. The concept of sparsity arises from the compressed sensing, a technique used in the reconstruction of sparse signals from incomplete sets of measurements. In recent years, many methods from this field are adopted in the design of sparse systems. In this talk, the basic concepts of the compressed sensing are discussed. Then, the design of sparse digital filters and efficient antenna arrays are described. In particular, we focus on the design of FIR filters with linear phase and the filters with no-phase specifications. Two approaches are presented - the first based on the signomial programming and the second based on the branch and bound method. Finally, in antenna array design, we introduce the global optimization based on convex programming and branch and bound algorithm. This method is utilized in the synthesis of pencil beams with constrained dynamic range ratios of antenna coefficients.
Maja Jurišić Bellotti received the Master degree in Electrical engineering and information technology from the University of Zagreb Faculty of Electrical Engineering and Computing (FER), Zagreb, Croatia, in 2011. From 2011 to 2016 she has been working as a project engineer in Altpro Company. Since 2016 she has been a research and teaching assistant at the Department of Electronic Systems and Information Processing at FER. Her research interests include digital system design, software radio, optimization methods and sparse modeling. Since 2016 she is a student member of The Institute of Electrical and Electronics Engineers (IEEE). Also, she is member of IEEE societies for Young Professionals, Circuits and Systems, Communications and Signal Processing.