Digital signal processing and pattern recognition laboratory

Laboratory activity description

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The Laboratory of digital signal processing and pattern recognition is involved in teaching and research in the areas of signals and systems, signal and image processing and pattern recognition. It also provides technical and organisational support to Ph.D. and diploma thesis students working in the digital signal processing and pattern recognition fields. Almost 10 Ph.D. theses and 120 diploma theses have been completed during the last six years. The Laboratory has strong cooperation links both with the Institute for Communications and Computer Systems of NTUA, and the Institute for Language and Speech Processing (lLSP).

Related courses given by the Laboratory Staff:

Research activities in this area include: derivation of efficient and/or parallel algorithms for signal processing and pattern recognition, spectral estimation techniques, speech synthesis from text, isolated word and continuous speech recognition, EEG modelling, vector quantisation techniques in signal and image compression, signal enhancement, medical image processing and coding for telemedicine applications, statistical and neural network based image analysis and recognition, learning techniques, use of higher order statistics and wavelets in image processing. Also, research is conducted in linguistic engineering, in collaboration with ILSP.

The laboratory is equipped with several Personal Computers (286, 386, 486), special A/D and D/A boards, special DSP boards, an EEG acquisition system and a Unix Sparc workstation, camera, frame grabber and scanner.

These are the research activities of the laboratory:

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