Péter Zoltán CSURCSIA

PhD student
A doktorandusz fényképe

Contact information

1117 Budapest, Magyar tudósok krt. 2. I. ép. IE415
István Kollár
Studies ended: 


Péter Zoltán Csurcsia was born in Budapest, Hungary, on 17.05. 1985.
He obtained his Bachelor of Engineering diploma (BEng in EE, summa cum laude) and his Technical Teacher  diploma (Ed in EE, summa cum laude) from Budapest Tech in 2007 and 2008. Parallel with Electrical Engineering he studied technical informatics at Budapest Tech between 2004 and 2008. From 2008 he was a student at the Budapest University of Technology and Economics (BUTE) and at Vienna University of Technology. He graduated in MSc in Embedded Systems and in Applied Informatics (MSc, summa cum laude) in 2010.

Now, he is a doctoral student at the BUTE (his advisor Prof. Dr.  István Kollár) and at the Vrije Universiteat Brussel (with Prof. Dr. ir. Johan Schoukens). He worked as an IT Teacher from 2006-2010 and as a Program/Web designer.

His research interests cover the topics of system identification, digital signal processing, software and and internet technologies.

As from the year 2011 he can be found at the Vrije Universiteat Brusse. In case of any question please use the email address. 


PhD topic: 
Research on Time-Varying Linear Systems
List of publications and author profiles:  ResearcherID  Scopus  Google Scholar

The goal of this my research to present a new method which estimates non-parametrically the slowly time-varying systems represented by two dimensional impulse response function.

We used generalized B-spline technique for double smoothing: once over the different excitation time (which refers to the system memory) and once over the actual excitation (referring to the system behavior). If the parameter changing of the observed system is sufficiently slow, then we can use a new approach to decrease number of parameters freedom to be stored i.e. decrease the degree of freedom and the computing time. The proposed algorithm is based on modified, generalized B-spline basis functions.


© 2010-2022 BME MIT