Michele Scarpiniti | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Advances in hypercomplex adaptive filtering for 3D audio processing	Proc. 2017 IEEE First Ukraine Conference on Electrical and Computer Engineering (UKRCON)	2017
Apprendimento distribuito in scenari single-task e multi-task	Memorie ET2017	2017
Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation	Proceedings of 25th European Signal Processing Conference (EUSIPCO 2017)	2017
A semi-supervised random vector functional-link network based on the transductive framework	INFORMATION SCIENCES	2016
Steady-state performance of spline adaptive filter	IEEE TRANSACTIONS ON SIGNAL PROCESSING	2016
A nonlinear acoustic echo canceller with improved tracking capabilities	Recent Advances in Nonlinear Speech Processing	2016
Frequency-domain adaptive filtering in hypercomplex systems	Advances in Neural Networks - Computational Intelligence for ICT	2016
Benchmarking functional link expansions for audio classification tasks	Advances in Neural Networks - Computational Intelligence for ICT	2016
Design of hybrid nonlinear spline adaptive filters for active noise control	Proceedings of the 2016 International Joint Conference on Neural Networks	2016
A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation	Proc. of the 26th IEEE International Workshop on Machine Learning for Signal Processing	2016
Diffusion spline adaptive filtering	Proc. of the 24th European Signal Processing Conference (EUSIPCO)	2016
Online sequential extreme learning machine with kernels	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2015
Nonlinear system identification using IIR spline adaptive filters	SIGNAL PROCESSING	2015
Improving nonlinear modeling capabilities of functional link adaptive filters	NEURAL NETWORKS	2015
Significance-based pruning for reservoir’s neurons in echo state networks	Advances in Neural Networks: Computational and Theoretical Issues	2015
Online selection of functional links for nonlinear system identification	Advances in Neural Networks: Computational and Theoretical Issues	2015
Integration of audio and video clues for source localization by a robotic head	Advances in Neural Networks: Computational and Theoretical Issues	2015
Novel cascade spline architectures for the identification of nonlinear systems	IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS	2015
Intelligent acoustic interfaces with multisensor acquisition for immersive reproduction	IEEE TRANSACTIONS ON MULTIMEDIA	2015
Microphone array based classification for security monitoring in unstructured environments	AEÜ. INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS	2015

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

Gruppi di ricerca

ISPAMM - Intelligent Signal Processing and MulitiMedia