Rolands Šāvelis is a researcher and head of the EDI Discrete Signal Processing Laboratory. His research interests include discrete signal processing, event-driven/signal-dependent sampling, signal reconstruction, spectral analysis, non-stationary signal processing, asynchronous data acquisition systems, adaptive filtering, modelling and simulation, artificial intelligence.
Recent projects
- Technology for high-precision time-amplitude analysis of event flow (TIME-AMP)
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AI-based analysis of multi-static UWB-IR radar signals for non-destructive estimation of materials and structure (MIRSA)
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Digitalization of Power Electronic Applications within Key Technology Value Chains (PowerizeD) #ChipsJU
Recent publications
- Gatis Gaigals, Romans Maliks, Vladimir Aristov, Rolands Savelis, Janis Simanovics, Eduards Lobanovs, Haralds Egliens, Dans Laksis Kristaps Maris Greitans, Modris Greitans. Evaluation of Materials and Structures with a Multistatic Ultra-Wideband Impulse Radar: A Concept Validation
- Shavelis, R., Ozols, K. (2020) Bluetooth Low Energy Wireless Sensor Network Library in MATLAB Simulink. Journal of Sensor and Actuator Network, 9 (3), 38. doi: 10.3390/jsan9030038