Our group focuses on research, development and implementation of advanced digital signal processing algorithms, mainly in the fields of adaptive control and audio processing. We build on our experience with statistics, namely with the Bayesian approach to system identification and modeling, as well as the relevant fields of linear algebra.
Our target platforms are Field Programmable Gate Arrays (FPGAs) and Digital Signal Processors (DSPs). We use Matlab/Simulink to specify, model and verify algorithms that we later convert and synthesize to HW. As such specialized solutions are likely to be used in embedded systems, we also research features that result in extremely fast execution, use small amount of memory, small chip area or low power consumption. We achieve this both through designing new or modifying existing DSP algorithms, and using architectural properties such as dynamic reconfiguration of FPGAs...
EFECS 2022, the European Forum for Electronic Components and Systems was held 24 - 25 November 2022 in Amsterdam. At the StorAIge booth, our department had opportunity to show the latest demonstrator of edge AI pedestrian detection.
In the frame of the StorAIge project, our department demonstrated the progress made in development of UTIA HW accelerators at the Embedded World 2022 trade fair from 21 to 23 June 2022 in Nuremberg, Germany.
Join an introductory webinar to learn about novel aproach to digital transformation tools with open systems that avoid vendor lock in.
Eclipse Arrowhead consists of what is needed for anyone to design, implement and deploy Automation System of Systems according to the concepts of Industry 4.0 and RAMI 4.0. The framework of Eclipse Arrowhead aims at enabling all of its users to work in a common and unified approach leading towards high levels of interoperability.
Click here to register
Our department collaborates with Arcelik, one of Europe’s largest producers and suppliers of household electrical products. In order to efficiently automate the testing process at Arcelik we develop a giga-sample data acquisition system serving as a smart oscilloscope that is capable of analyzing what it is measuring and sending the analyzed data securely to an Eclipse Arrowhead cloud.
STM32H753 Terminal device on Nucleo44 board ext. with Xilinx Zynq7000 family Arduino
In the frame of WakeMeUP project, our group developed STM32H753 device based terminal extended with Xilinx Zynq 7000 family Arduino compatible shield. The terminal works with 32bit Debian OS with support for the Xilinx SDSoC 2018.2 compiler for generation of HW IPs from C functions. Video presents compilation of DSP floating-point benchmarks for STM32H boards in STM32CubeIDE 1.7.0 tool and DSP benchmark execution on several Nucleo 144 boards: https://www.youtube.com/watch?v=RwT-49B0SPI