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 theory and its applications on emerging fields of research and engineering. The unifying theme of the lab is the exploitation and exploration of non-Gaussian statistics, Compressed Sensing, Sparse Representations, Sinusoidal Modelling, and Machine Learning for investigating, developing, integrating, and validating novel techniques for information and signal processing.
Our research moves along the following lines:
