2007 IEEE International Workshop on
Machine Learning for Signal Processing
August 27-29, 2007 - Thessaloniki, Greece

 

About Us

What is BSP?

Blind Signal Processing (BSP) deals with the outputs of unknown systems excited by unknown inputs. At first sight the problem seems intractable, but a closer look reveals that certain signal properties allow us to extract the inputs or to identify the system up to some, usually not important, ambiguities. Linear systems are mathematically most tractable and, naturally, they have attracted most of the attention. Depending on the type of the linear system, blind problems arise in a wide variety of applications, for example in digital communications, in biomedical signal processing, in acoustics and speech processing, etc. Many recent books on the subject provide extensive discussion on related problems and methods.

K.Diamantaras, "Blind Signal Processing Based on Data Geometric Properties"

Who we are?

Konstantinos I. Diamantaras (Team Leader) - ATEI of Thessaloniki
Panagiotis Adamidis - ATEI of Thessaloniki

Basileios Mertzios - ATEI of Thessaloniki
Emmanouil Roumeliotis - University of Makedonia
Theofilos Papadimitriou - Democritus University of Thrace
Athanasios I. Margaris
- University of Makedonia
Nikolaos Kofidis - Aristotle University of Thessaloniki
Themis Kotsialos - Aristotle University of Thessaloniki
Stergios Draganidis - ATEI of Thessaloniki

Anastasios Neikos - ATEI of Thessaloniki

 

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