Michele Scarpiniti

Pubblicazioni

Titolo Pubblicato in Anno
EcoMobiFog–Design and dynamic optimization of a 5G Mobile-Fog-Cloud Multi-Tier ecosystem for the real-time distributed execution of stream applications IEEE ACCESS 2019
Frequency-domain adaptive filtering: from real to hypercomplex signal processing 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) 2019
SmartFog: Training the Fog for the energy-saving analytics of Smart-Meter data APPLIED SCIENCES 2019
Convex combination of spline adaptive filters Proceedings of the 27th European Signal Processing Conference (EUSIPCO2019) 2019
A multimodal dense U-Net for accelerating multiple sclerosis MRI IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2019
Energy performance of heuristics and meta-heuristics for real-time joint resource scaling and consolidation in virtualized networked data centers THE JOURNAL OF SUPERCOMPUTING 2018
A Supervised Machine Learning-Based Sound Identification for Construction Activity Monitoring and Performance Evaluation Construction Research Congress 2018: Construction Information Technology 2018
Design and energy-efficient resource management of virtualized networked Fog architectures for the real-time support of IoT applications THE JOURNAL OF SUPERCOMPUTING 2018
Fog-supported delay-constrained energy-saving live migration of VMs over multiPath TCP/IP 5G connections IEEE ACCESS 2018
Fog of social IoT: when the fog becomes social IEEE NETWORK 2018
Combined sparse regularization for nonlinear adaptive filters Proceedings of the 26th European Signal Processing Conference (EUSIPCO) 2018
Sparse functional link adaptive filter using an ℓ1-norm regularization Proceedings - IEEE International Symposium on Circuits and Systems 2018
Spline adaptive filters: Theory and applications Adaptive Learning Methods for Nonlinear System Modeling 2018
Frequency domain quaternion adaptive filters: Algorithms and convergence performance SIGNAL PROCESSING 2017
Q*: energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers COMPUTER COMMUNICATIONS 2017
Combined nonlinear filtering architectures involving sparse functional link adaptive filters SIGNAL PROCESSING 2017
Fog of everything: energy-efficient networked computing architectures, research challenges, and a case study IEEE ACCESS 2017
Effective blind source separation based on the adam algorithm Multidisciplinary approaches to neural computing 2017
On the influence of microphone array geometry on the behavior of hypercomplex adaptive filters Proc. Microwaves, Radar and Remote Sensing Symposium (MRRS) 2017
Advances in hypercomplex adaptive filtering for 3D audio processing Proc. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON) 2017

ERC

  • PE6_11
  • PE7_7

KET

  • Big data & computing

Interessi di ricerca

Gli attuali interessi di ricerca sono nel campo dell'elaborazione non lineare del segnale, dei circuiti e degli algoritmi per l'elaborazione del segnale audio, array processing e la separazione di sorgenti. Inoltre, è attivo su tematiche di filtraggio adattativo non lineare, con particolare enfasi all'identificazione di sistemi non lineari. Altri interessi di ricerca riguardano la cancellazione dell'eco monofonico/stereofonico in ambiente avverso e in presenza di forti distorsioni non lineari e la localizzazione acustica di sorgenti all’interno di ambienti riverberanti. Si interessa anche di machine learning e di reti neurali per l'elaborazione del segnale.

Keywords

audio
adaptive signal processing
complex nonlinear filters
energy aware machine learning
fog computing (FC)

Progetti di Ricerca

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