The Machine Learning, Signal Processing and Telecommunication Laboratory (MLSPTlab) devotes its research and teaching activities to various topics in information technology. They include Digital Signal Processing, Information Theory, Neural Networks, Machine Learning, Telecommunications Systems, Software-Defined-Radios.
The group operates within the Engineering Department at Università della Campania "Luigi Vanvitelli," Aversa (CE), Italy. The faculty is appointed within the SSD: ING-INF/03-TELECOMUNICAZIONI (09/F2), MIUR (Ministero dell'Università e della Ricerca Scientifica).
The Laboratory is also a Research Unit of CNIT (Consorzio Nazionale Interuniversitario per le Telecomunicazioni) and is associated to the GTTI (Gruppo Telecomunicazioni e Tecnologie dell'Informazione).
Text analysis, via natural language processing (NLP) methods, aims at high-level information extraction. Applications vary from document classification to automatic answering machine.Read More
Agents' dynamics are considered using various motion models. They are appplied to moving humans and vessels.Read More
Pose Estimation and Vision
Data gathered from various sensor modalities can be used to model and classify complex 3D scenes.Read More
Probabilistic Graphical Models with message propagation are a very powerful paradigm to build robust models for real phenomena.Read More
Artificial neural networks in various configurations are showing great potential in a number of applications.Read More
Machine Learning for Medical Data
The increasing volume of available data in the Healthcare domain suggests to use powerful machine leaning techniques for classification and prediction.Read More
Estimation theory aims at obtaining hidden information from measured empirical data using stochastic models.Read More
Software for Real-Time Fusion
The group research actives include the development of experimental platforms that can collect real data gathered from mobile terminals and sensors.Read More
SDR & Wireless Communications
Current telecommunication systems are implemented on powerful digital platforms. Software-Defined Radio (SDR) is the paradigms that includes algorithm for coding and modulation on wireless channels.Read More
Multipath Channel Modelling
The multipath channel is modelled with a stochastic lattice-based approach.Read More
Various algorithms have been studied for analysis, modification and synthesis of signals and images. Application domains include acoustics, image processing and biological data.Read More
Genetic algorithms are a population-based search paradigm in stochastic optimization, inspired by the natural selection process.Read More