Zsolt Kollar

Head of the MATLAB Laboratory

Zsolt is the Head of the MATLAB Laboratory at the Budapest University of Technology and Economics (BME) and a consultant at Gamax Laboratory Solutions. His research and consulting work focus on wireless communication systems and digital signal processing.

Connected Products & Services

Expert In

Zsolt Kollar received his diploma in Electric Engineering from the Budapest University of Technology and Economics (BME) in 2008, focusing on the physical layer of communication systems. He finished and defended his PhD thesis in 2013, focusing on advanced modulation schemes for cognitive radio applications.

Zsolt currently works as an associate professor at BME, as the head of the MATLAB Laboratory, and as a consultant at Gamax Laboratory Solutions, focusing on various industry-driven projects. He has taken key roles in developing automated measurement systems through instrument control with advanced graphical user interfaces. Zsolt was also involved in developing testbeds for future communication and radar systems. 

Zsolt and his team have been maintaining and developing the Frequency Domain System Identification Toolbox (FDIDENT) since 2016. His team consists of talented young engineers with various skill sets: code-verification and testing, linear and nonlinear optimization, adaptive systems, parameter estimation, and digital signal processing in wireless communication systems.

Zsolt is highly skilled in digital signal processing, especially multi carrier modulations (OFDM, FBMC), and also has a strong theoretical background in the optimization of algorithms to enable real-time applications.

Relevant projects

  • Developing efficient signal processing methods for 5G and beyond physical layer modulation schemes such as OFDM, FBMC, and GFDM 
  • Development of standard-conform channel coding and waveforms generation
  • Parameter estimation in linear and nonlinear dynamic system identification 
  • Modeling systems through physical design using gray or black box methodology
  • Digital signal processing for waveform synthesis/analysis and spectral analysis 
  • Building and verifying physical models, optimizing measurement setups, analyzing and decomposing noisy results
  • Data acquisition and processing for radar systems through baseband signal processing and target tracking 
  • Accelerating signal processing of large data for real-time evaluation
  • Implementing radio communications systems, including nodes equipped with sensors and measurement platforms­

Related Events

Related Articles

Excitation Signals for Identification of Dynamic Systems

Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.

Equalization process of a SW equalizer applying COLA

FBMC – An Ever-Promising Candidate for 5G Technologies and Beyond

In this blog, we discuss the newest solution for improving the signal processing of FBMC receivers. Explore the newest solution for improving the signal processing of FBMC receivers, including efficient implementation strategies and receiver structure enhancements. Discover new insights and alternative signal processing solutions that promise enhanced performance and reduced complexity for these crucial systems.