Representative applications include imaging and video coding, distributed signal and data management over sensor networks, immersive audio and multichannel audio coding, speech recognition and enhancement.
The Astroinformatics Group
A world-leading excellence hub in the field of Computational Astrophysics
Research Evening 2023
Presentation of the project to the general public and highlighting the important application of Machine Learning in astronomy
FRESQO
Freshness REcording System for Fish Quality Observation
Automatic recognition of the freshness with Deep Learning
Research Topics
Discover the research topics of
Signal Processing Laboratory
Audio & Speech
We perform cutting edge research, featuring microphone array signal processing, wireless acoustic sensor netwo...
Statistical signal
Research activities at SPL explore the statistical properties of linear time-frequency analysis methods, such ...
About SPL
Over 20 Years of Experience With Best Results.
The Signal Processing Laboratory at ICS-FORTH, aspires to be at the forefront of signal processing with fundamental work on image, audio, and speech signal processing and learning theory. Our research activities rely on the pillars of non-Gaussian statistics, sinusoidal modeling, sparse representations, and compressed sensing, and our aim is to apply state of the art techniques to a wide range of real world problems.
Signal Processing Laboratory
Featured publications
Neuronal Communication Process Opens New Directions in Image and Video Compression Systems In Proceedings
Doutsi Effrosyni.Proc. European Research Consortium for Informatics and Mathematics, Special Theme: Brain-inspired Computing (ERCIM News 125), pp. 27–28, 2021.
Team Members
Research Personnel
SPL
Events
11Jan
Robust Machine Learning, Reinforcement Learning and Autonomy: A Unifying Theory via Performance and Risk Tradeoff
- Speaker : John Baras Date : 17.01.2024 Time: 11.00 to 12.30 Location : Orphanoudakis Room - FORTH, Main Building, 1st floor Host : Prof. Panos Tsakalidis, SPL/ICS FORTH
09Nov
Continual Inference Networks for Real-time Stream Data Processing
- Date/Time: Monday, November 27, 12:00 – 13:30 Location: FORTH Central Building - Payatakis Room Speaker: Prof. Alexandros Iosifidis, Aarhus University, Denmark Title: Continual Inference Networks for Real-time Stream Data Processing Hosts: Dr. George Tzagkarakis, SPL LAB / ICS FORTH
23Oct
TSMS: TreeSHAP Model Selection for Time Series Forecasting
- Date/Time: Wednesday, October 25, 12:30 – 14:00 Location: FORTH Central Building - Payatakis Room Speaker: Matthias Jakobs, Lamarr Institute for ML and AI Title: TSMS: TreeSHAP Model Selection for Time Series Forecasting Hosts: Dr. George Tzagkarakis, and Prof. Panagiotis Tsakalides, SPL LAB / ICS FORTH Read More
Recent News
Our most resent news.
09Jul
Soil Moisture Retrieval using In Situ and Data Simulation Regularized Deep Learning Models
Exciting News! Our team member, Gregory Tsagkatakis, will...
01Jul
Low-Cost Remote Sensing of Root Zone Soil Moisture, Ground Water, and Snow Depth with Ultrawideband Drone-mounted Software-Defined Radar
Speaker : Mahta Moghaddam, Ming Hsieh Chair in El...
20Apr
IEEE International Geoscience and Remote Sensing Symposium
We are excited to extend an invitation to all profe...
11Jan
Robust Machine Learning, Reinforcement Learning and Autonomy: A Unifying Theory via Performance and Risk Tradeoff
Speaker : John Baras Date : 17.01.2024 Time:...