Professor Stephan Weiss
Electronic and Electrical Engineering
Personal statement
Personal statement
Based in the Centre for Signal and Image Processing (CeSIP), my team and I work on the analysis, design and implementation of signal processing algorithms. I have been a Reader in CeSIP from 2006-2016, and previously worked as a Lecturer and Senior Lecturer at the University of Southamption from 1999-2006, as a Visiting Lecturer at Strathclyde in 1998/99 and as a Visiting Scholar at the Unversity of Southern California in 1996/97.
My research interests lie in digital signal processing (DSP), where I am interested in a variety of problems in adaptive, array, and multirate DSP. My particular curiosity are multi-channel, broadband systems, and a significant portion of my research team is working within this area.
I was co-organiser and technical chair for the European Signal Processing Conference (EUSIPCO) 2009 in Glasgow, and general chair for the 18th IEEE International Symposium on Power Line Communications and Its Applications (ISPLC) 2014 in Glasgow and for the 2nd IEE/EURASIP DSP enable Radio Conference 2005 in Southampton. I am also part of the organising committee for the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 in Brighton.
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Area of Expertise
- adaptive signal processing;
- array processing;
- multirate signal processing;
- signal processing applications in communications, audio & acoustics and biomedicine.
Prize And Awards
- Best Student Paper Award
- Recipient
- 2018
- Best Paper Award, MIMO Systems Track
- Recipient
- 2011
Qualifications
- Dipl.-Ing. Electronic & Electrical Engineering, University of Erlangen-Nuernberg, Germany, 1995.
- PhD, Signal Processing, University of Strathlcyde, 1998.
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Publications
- Scalable approach for analytic polynomial subspace projection matrices for a space-time covariance matrix
- Khattak Faizan A, Bakhit Mohammed, Proudler Ian K, Weiss Stephan
- 2024 IEEE High Performance Extreme Computing Conference (HPEC) IEEE High Performance Extreme Computing Conference 2024 IEEE High Performance Extreme Computing Conference (HPEC) (2025)
- https://doi.org/10.1109/HPEC62836.2024.10938503
- Why can Wiener-Hopf reach accurate solutions with poor statistical estimates?
- Weiss Stephan, Proudler Ian K
- 2025 IEEE Statistical Signal Processing Workshop (SSP) 23rd IEEE Statistical Signal Processing Workshop IEEE/SP Workshop on Statistical Signal Processing (SSP) (2025)
- Polynomial Procrustes method for randomly perturbed near-paraunitary systems
- Weiss Stephan, Schlecht Sebastian J, Moonen Marc
- 2025 IEEE Statistical Signal Processing Workshop (SSP) 23rd IEEE Statistical Signal Processing Workshop IEEE/SP Workshop on Statistical Signal Processing (SSP) (2025)
- Improved polynomial MUSIC algorithm for low-complexity and high-accuracy broadband AoA estimation
- Khattak Faizan A, Weiss Stephan, Bakhit Mohammed, Proudler Ian K
- 2025 IEEE Statistical Signal Processing Workshop (SSP) 23rd IEEE Statistical Signal Processing Workshop IEEE/SP Workshop on Statistical Signal Processing (SSP) (2025)
- Recovering ground truth singular values from randomly perturbed MIMO transfer functions
- Bakhit MA, Khattak FA, Rice GW, Proudler IK, Weiss S
- 2025 IEEE Statistical Signal Processing Workshop (SSP) 23rd IEEE Statistical Signal Processing Workshop IEEE/SP Workshop on Statistical Signal Processing (SSP) (2025)
- Broadband array time reversal method for jamming with protective constraints
- Pahalson Cornelius AD, Weiss Stephan
- 2025 IEEE Statistical Signal Processing Workshop (SSP) 23rd IEEE Statistical Signal Processing Workshop IEEE/SP Workshop on Statistical Signal Processing (SSP) (2025)
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Teaching
- EE320 Signal & Systems
- EE578/EE978 Advanced Signal Processing
- EE986 Professional Studies
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Research Interests
- MIMO systems
- methods for broadband/wideband problems
- polynomial matrix decompositions
- rural broadband access
Professional Activities
- 32nd European Signal Processing Conference
- Participant
- 28/8/2024
- 32nd European Signal Processing Conference
- Participant
- 27/8/2024
- 32nd European Signal Processing Conference
- Participant
- 26/8/2024
- 18th IEEE International Symposium on Power Line Communications and Its Applications
- Participant
- 1/10/2012
- IEEE Globecom 2012 - Communications Software, Services and Multimedia Symposium
- Member of programme committee
- 3/1/2012
- IEEE GLOBECOM'12: Power Line Communications and SmartGrid Track
- Member of programme committee
- 2012
Projects
- EO4SECURITY-MicroDoppler
- Clemente, Carmine (Principal Investigator) Ilioudis, Christos (Co-investigator) Macdonald, Malcolm (Co-investigator) Tubaldi, Enrico (Co-investigator) Weiss, Stephan (Co-investigator)
- 07-Jan-2023 - 10-Jan-2026
- Signal Processing for Advanced Representations and Analysis of the Ocean Acoustic Environment
- Weiss, Stephan (Principal Investigator)
- 01-Jan-2023 - 07-Jan-2024
- Signal Processing in the Information Age (UDRC III)
- Weiss, Stephan (Principal Investigator) Stankovic, Vladimir (Co-investigator)
- UDRC III: Signal Processing in the Information Age
- 01-Jan-2018 - 31-Jan-2024
- Fundamentals, Techniques and Algorithms for Processing Multichannel Broadband Data | Delaosa, Connor
- Weiss, Stephan (Principal Investigator) Pestana, Jennifer (Co-investigator) Delaosa, Connor (Research Co-investigator)
- 01-Jan-2017 - 01-Jan-2021
- Enabling Affordable Internet Access with Dynamic Spectrum Management & Software Defined Radio (GCRF)
- Stewart, Robert (Principal Investigator) Weiss, Stephan (Co-investigator) Crawford, David H (Research Co-investigator)
- "This project aims to investigate how the use of dynamic spectrum access (DSA) management and geo-location database technology, combined with software defined radio (SDR) implementations may be used to enable effective and efficient wireless networks to be built at scale in developing countries in order to support affordable Internet access using the shared spectrum resource. The project will seek to evolve DSA methods and techniques to generally improve this type of spectrum sharing service, and hence these improvements in the UK, will be fully shared and supported by our international ODA partners. The project will be led by the University of Strathclyde's Centre for White Space Communications (CWSC), working with international ODA university partners in Kenya, Zambia, Ghana & Malawi (further engaging with partners in their countries - both industry and regulators). There will also be support and input from a number of key industry partners including dynamic spectrum access database and cloud services partners: Nominet and Microsoft, production white space/DSP radio vendors, Adaptrum and 6Harmonics; UK SME internet service providers (ISPs) partners Cloudnet and Broadway Partners; and communication/ SDR software support from MathWorks, and FPGA hardware vendors Xilinx. All of the relationships and partners in this proposal are already pre-existing, trusted and in some cases very long term relationships, including previous and active Strathclyde links to partners in all four African countries. Figure 1 below illustrates the partners in this project.
CWSC and its collaborating partners have considerable expertise and experience in DSA management, and were instrumental in helping Ofcom as it progressed towards putting regulations in place for dynamic use of White Space spectrum in the TV band - regulations which went 'live' on 31st December 2015. The project will build upon previous work that has taken place in the four overseas countries, and will ultimately lead to benefits in the form of improved routes towards digital inclusion in those countries, and we anticipate followed later by 'ripple effect' to neighbouring or regional countries." - 01-Jan-2017 - 30-Jan-2020
- Fundamentals, Techniques and Algorithms for Processing Multichannel Broadband Data
- Weiss, Stephan (Principal Investigator)
- Fundamentals, Techniques and Algorithms for Processing Multichannel Broadband Data
- 01-Jan-2017 - 31-Jan-2021
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Contact
Professor
Stephan
Weiss
Electronic and Electrical Engineering
Email: stephan.weiss@strath.ac.uk
Tel: 548 2546