The Signal Processing Group is part of the Institute of Electronics, which belongs to the Faculty of Computer Science, Electronics and Telecommunications at AGH University of Krakow, Poland. Group members perform research into various aspects of digital signal processing (DSP) focusing mainly on speech and audio signal processing for the Internet of Things (IoT), multimedia and communication applications, as well as the processing of biomedical signals and audio-video for virtual and augmented reality. Research into signal processing builds upon an intelligent integration of classical DSP techniques, statistical signal processing and machine learning.
The Signal Processing Group is led by Associate Professor Konrad Kowalczyk and it consists of over a dozen of the members of academic staff and research students at a Ph.D. level. The DSP team collaborates internationally with renown academic partners and nationally with the local high-tech industry, and has successfully completed a number of research and commercial R&D projects. The group offers fundamental and advanced taught courses on signal processing, DSP, machine learning, and programming for embedded and multimedia applications at both undergraduate and graduate levels. The Signal Processing Group regularly offers student jobs in research and R&D projects, as well as provides a breadth of opportunities for thesis work and student internships.
We are very happy that members of AGH Signal Processing Group will be present at this year’s IEEE ICASSP. On Thursday, 10 June, at 13:00 – 13:45 (Eastern Daylight Time) mgr inż. Mieszko Fraś will present the paper entitled: “Maximum a Posteriori Estimator for Convolutive Sound Source Separation with Sub-Source Based NTF Model and the […]
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We would like to encourage submission to the Special Issue on Data-Based Spatial Audio Processing in the EURASIP Journal on Audio, Speech, and Music Processing, in which associate professor Konrad Kowalczyk serves as a Guest Editor. The deadline for submissions is June the 15th, 2021.
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The outcome of the Machine Learning for Spatial Audio Processing project will be presented by mgr inż. Daniel Krause at EUSIPCO 2020 virtual conference, which starts this week, with papers on “Comparison of Convolution Types in CNN-based Feature Extraction for Sound Source Localization” and “Feature Overview for Joint Modeling of Sound Event Detection and Localization […]
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We are pleased to announce that the APDAS project led by associate professor Konrad Kowalczyk received additional funds from the Foundation for Polish Science for the extension of project duration by 1 year. The grant supports performing a new research task in an ongoing project. Official announcement available at FNP website.
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