Pubblicazioni Articoli su rivista [R1] E.D.Di Claudio, R. Parisi and G.Jacovitti, "Space time MUSIC:
consistent signal subspace estimation for wide-band sensor arrays", IEEE
Transactions on Signal Processing, Vol. 66, N. 10, pp. 2685-2699, 2018. [R2] M. Scarpiniti, D. Comminiello, G. Scarano, R. Parisi and A. Uncini, "Steady-State Performance of Spline Adaptive Filters", IEEE Transactions on Signal Processing, Vol. 64, N. 4, pp. 816-828, February 2016. [R3]
S. Scardapane, M. Scarpiniti, M. Bucciarelli, F. Colone, M. V. Mansueto
and R. Parisi, "Microphone
Array Based Classification for Security Monitoring in Unstructured
Environments", AEÜ – International
Journal of Electronics and Communications, Vol. 69, N. 11, pp. 1715-1723,
2015. [R4]
D. Comminiello, S. Scardapane, M. Scarpiniti, R. Parisi and A. Uncini, "Improving Nonlinear Modeling
Capabilities of Functional Link Adaptive Filters", Neural Networks, Vol. 69, pp. 51-59, September 2015. [R5]
M. Scarpiniti, D. Comminiello, R.
Parisi and A. Uncini, "Novel Cascade Spline Architectures for the Identification
of Nonlinear Systems", IEEE
Transactions on Circuits and Systems I: Regular Papers, Vol. 62, N. 7, pp. 1825-1835,
July 2015. [R6]
M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini,
"Nonlinear System Identification using IIR Spline Adaptive Filters", Signal
Processing, Vol. 108, March 2015, pp. 30-35. [R7]
E. Baccarelli, F. Chiti, N.
Cordeschi, R. Fantacci, D. Marabissi, R. Parisi, and A. Uncini, "Green multimedia wireless sensor networks:
distributed intelligent data fusion, in-network processing, and optimized
resource management", IEEE Wireless
Communications, Vol. 4, Issue 4, 2014, pp. 20-26. [R8] M. Scarpiniti, D.
Comminiello, R. Parisi and A. Uncini, "Hammerstein Uniform Cubic
Spline Adaptive Filters: Learning and Convergence Properties", Signal Processing, Vol. 100, pp. 112-123,
2014. [R9]
D. Comminiello, M. Scarpiniti, R. Parisi,
and A. Uncini, "Combined Adaptive Beamforming Schemes for Nonstationary
Interfering Noise Reduction", Signal Processing, Vol. 93, N. 12, pp.
3306-3318, December 2013. [R10] D. Comminiello, M. Scarpiniti,
R. Parisi, and A. Uncini,
"Convergence Properties of Nonlinear Functional Link Adaptive Filters",
Electronics Letters, Vol. 49, N. 14, pp. 873-875, July 2013. [R11] M. Scarpiniti, D. Comminiello, R. Parisi and A. Uncini,
"Nonlinear Spline Adaptive Filtering", Signal Processing, Vol.
93, No. 4, pp. 772-783, April 2013. [R12]
R. Parisi, F.
Camoes, M. Scarpiniti and A.
Uncini, "Cepstrum Prefiltering for Binaural Source Localization in
Reverberant Environments", IEEE Signal Processing Letters, Vol. 19,
N. 2, pp. 99-102, February 2012. [R13]
M. Scarpiniti, R. Parisi and A. Uncini,
"Flexible estimation of joint probability and joint cumulative density
functions", in Electronics Letters, Vol. 46, No. 15, pp. 1084-1086,
July 2010. [R14] M. Scarpiniti, R.
Parisi and A. Uncini, "Flexible estimation of probability and
cumulative density functions", Electronics Letters, Vol. 45, No. 21,
pp. 1095-1096, October 2009. [R15]
S. Laoreti, D. Renzi, R. Parisi and A. Uncini, “Data Fusion Framework: concurrent architecture
for real-time processing”,
International Journal of Information and
Communication Technology (IJICT), Volume 1 - Issue 3/4 – 2008. [R16] M. Scarpiniti, D.
Vigliano, R. Parisi and A. Uncini,
"Generalized Splitting Functions for Blind Separation of Complex
Signals", Neurocomputing, Vol.
71, No. 10-12, pp. 2245-2270, June 2008. [R17]
D. Vigliano, M. Scarpiniti, R. Parisi and A. Uncini, "Flexible nonlinear blind signal
separation in the complex domain", International
Journal of Neural Systems, Volume:
18, Issue: 2 (April 2008). [R18]
D. Vigliano, R.
Parisi, A. Uncini, “An Information Theoretic Approach to a Novel Nonlinear
Independent Component Analysis Paradigm,” Signal
Processing, Special Issue on
Information Theoretic Signal Processing, Vol. 85, No. 5, pp. 997-1028, May,
2005. [R19]
E.D. Di Claudio and R. Parisi, "Robust ML wide-band beamforming in reverberant
fields," IEEE Trans. on Signal
Processing, Vol. 51, Issue 2 , Feb. 2003, Page(s): 338 -349. [R20] M. Solazzi, A. Uncini, E. D. Di Claudio, R. Parisi, “Complex Discriminative Learning
Bayesian Neural Equalizer,” Signal
Processing, Elsevier, Vol 81/12, Dec. 2001, pp. 2493-2502. [R21] E. D. Di Claudio, R. Parisi, “WAVES: Weighted AVErage of
Signal Subspaces for Robust Wide-Band Array Processing”, IEEE Trans. on Signal Processing, Volume: 49 Issue: 10, Oct 2001,
pp: 2179 -2191. [R22] R. Parisi, E.D. Di Claudio, G. Orlandi, and B.D. Rao, “Fast adaptive digital
equalization by recurrent neural networks,” IEEE
Trans. on Signal Processing, Special number on Neural Network applications, Vol.
45, No. 11, November 1997. [R23]
R.
Parisi, E.D. Di Claudio, G. Orlandi, and B.D. Rao, “A
generalized learning paradigm exploiting the structure of feedforward neural
networks,” IEEE Trans. on Neural Networks,
Vol.7, No.6, November 1996. Capitoli di libro [L1] Comminiello, Danilo, Scarpiniti, Michele, Scardapane, Simone, Parisi, Raffaele, Uncini, Aurelio (2019). A low-complexity
linear-in-the-parameters nonlinear filter for distorted speech signals. In:
Anna Esposito;Marcos Faundez-Zanuy;Francesco Carlo Morabito;Eros Pasero. Smart
Innovation, Systems and Technologies. SMART INNOVATION, SYSTEMS AND
TECHNOLOGIES, p. 107-117, Springer Science and Business Media Deutschland GmbH,
ISBN: 978-3-319-95097-6, ISSN: 2190-3018, doi: 10.1007/978-3-319-95098-3_10. [L2] Scarpiniti, Michele, Scardapane, Simone,
Comminiello, Danilo, Parisi, Raffaele, Uncini, Aurelio (2019).
Separation of drum and bass from monaural tracks. In: Anna Esposito;Marcos
Faundez-Zanuy;Francesco Carlo Morabito;Eros Pasero. Smart Innovation, Systems
and Technologies. SMART INNOVATION, SYSTEMS AND TECHNOLOGIES, p. 141-151,
Springer Science and Business Media Deutschland GmbH, ISBN: 978-3-319-95097-6,
ISSN: 2190-3018, doi: 10.1007/978-3-319-95098-3_13. [L3] Scarpiniti, Michele, Comminiello, Danilo, Parisi, Raffaele, Uncini, Aurelio (2018). Spline Adaptive Filters: Theory
and Applications. In: Comminiello D;Príncipe J. C.. Adaptive Learning Methods
for Nonlinear System Modeling. p. 47-69, Butterworth-Heinemann, ISBN: 9780128129760,
doi: 10.1016/B978-0-12-812976-0.00004-X.
[L4] M. Scarpiniti, S. Scardapane, D. Comminiello, R. Parisi and A. Uncini, "Effective Blind Source Separation
based on the Adam Algorithm", in Multidisciplinary Approaches to Neural
Computing, vol. 69, 2017. [L5]
S. Scardapane, D. Comminiello, M. Scarpiniti, R.
Parisi, and A. Uncini, "Benchmarking Functional Link Expansions for
Audio Classification Tasks", in Advances in Neural Networks -
Computational Intelligence for ICT, (S. Bassis, A. Esposito, F. C. Morabito
and E. Pasero, Eds.), ISBN: 978-3-319-33746-3, pp. 133-141, Springer, July
2016. [L6]
D. Comminiello, M. Scarpiniti, S. Scardapane, R.
Parisi, and A. Uncini, "A Nonlinear Acoustic Echo Canceller with
Improved Tracking Capabilities", in Recent Advances in Nonlinear Speech
Processing, (A. Esposito, M. Faundez-Zanuy, A. M. Esposito, G. Cordasco, T.
Drugman, J. Solé-Casals and F. C. Morabito, Eds.), ISBN: 978-3-319-28107-0, pp.
235-243, Springer, February 2016. [L7] R. Parisi, D. Comminiello, M. Scarpiniti and A. Uncini,
"Integration of Audio and Video Clues for Source Localization by a Robotic
Head", in Advances in Neural Networks: Computational and Theoretical
Issues, (S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN:
978-3-319-18163-9, pp. 149-157, Springer, July 2015. [L8]
D. Comminiello, S. Scardapane, M. Scarpiniti, R.
Parisi, and A. Uncini, "Online Selection of Functional Links for
Nonlinear System Identification", in Advances in Neural Networks:
Computational and Theoretical Issues, (S. Bassis, A. Esposito and F.C.
Morabito, Eds.), ISBN: 978-3-319-18163-9, pp. 39-47, Springer, July 2015. [L9]
M. Scarpiniti, D. Comminiello, S. Scardapane, R.
Parisi and A. Uncini, "Proportionate Algorithms for Blind Source Separation",
in Recent Advances of Neural Network
Models and Applications, (S. Bassis, A. Esposito and F.C. Morabito, Eds.),
ISBN: 978-3-319-04128-5, pp. 99-106, Springer, January 2014. [L10]
M. Scarpiniti, D. Comminiello, R. Parisi
and A. Uncini, "A Collaborative Filter Approach to Adaptive Noise
Cancellation", in Neural Nets and Surroundings, (B. Apolloni,
S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN: 978-3-642-35466-3, pp.
101-109, Springer, January 2013. [L11] S. Scardapane, D. Comminiello, M. Scarpiniti, R.
Parisi and A. Uncini, "PM10 Forecasting Using Kernel Adaptive
Filtering: an Italian Case Study", in Neural Nets and Surroundings,
(B. Apolloni, S. Bassis, A. Esposito and F.C. Morabito, Eds.), ISBN:
978-3-642-35466-3, pp. 93-100, Springer, January 2013. [L12]
M. Scarpiniti, D. Comminiello, R. Parisi
and A. Uncini, "A Collaborative Approach to Time-Series Prediction",
in Neural Nets WIRN11, (B. Apolloni, S. Bassis, A. Esposito and F.C.
Morabito, Eds.), ISBN: 978-1-60750-971-4, pp. 178-185, IOS Press, December 2011. [L13]
M. Scarpiniti, G. Bunkheila, R. Parisi and A. Uncini, "A
Pre-filtering and Post-filtering Approach to Blind Source Separation", in Neural
Nets WIRN10, (B. Apolloni, S. Bassis and F.C. Morabito, Eds.), ISBN 978-1-60750-691-1, pp. 89-98, IOS Press, January
2011. [L14]
M. Scarpiniti, F. Di Palma, R. Parisi and A. Uncini, "A
Geometrically Constrained ICA Algorithm for Blind Separation in Convolutive
Environments", in Neural Nets WIRN10, (B. Apolloni, S. Bassis and
F.C. Morabito, Eds.), ISBN 978-1-60750-691-1, pp. 79-88,
IOS Press, January 2011. [L15] M. Scarpiniti, A. Picaro, R.
Parisi and A. Uncini, "A Partitioned Frequency Block Algorithm for
Blind Separation in Reverberant Environments", in Neural
Nets WIRN09, (B. Apolloni, S. Bassis and F.C. Morabito, Eds.), ISBN:
978-1-60750-072-8, pp. 81-90, IOS Press, December 2009. [L16]
M. Scarpiniti, D. Vigliano, R. Parisi and A. Uncini, "A Flexible Natural Gradient Approach to Blind
Separation of Complex Signals", in New Directions in Neural Networks, (B. Apolloni, S. Bassis and M.
Marinaro, Eds.), ISBN: 978-1-58603-984-4, IOS
Press, March 2009. [L17] M. Scarpiniti, D. Vigliano, R.
Parisi and A. Uncini, "Flexible Blind Signal Separation in the Complex
Domain", in Complex-Valued Neural Networks: Utilizing High-Dimensional
Parameters, (T.Nitta, Ed.), ISBN: 978-1-60566-214-5, pp. 284-323, IGI Global,
February 2009. [L18]
D. Vigliano, A. Uncini, R. Parisi, “A recurrent ICA approach to a Novel BSS Convolutive
Nonlinear Problem”, Lecture Notes in Computer Science, ISBN-10 3-540-33183-2,
Springer-Verlag Heidelberg, Volume 3931/2006, pp. 57-64, May 2006. [L19] D. Vigliano, R. Parisi, A. Uncini, “Video
compression by neural networks,” in: Intelligent Multimedia Processing with
Soft Computing, Yap-Peng Tan, Kim H. Yap, Lipo Wang, (Eds.), Springer, 2005. [L20]
E. D. Di Claudio and R. Parisi, "Robust wideband beamforming," in: Robust
Adaptive Beamforming, Petre Stoica, Jian Li (eds.), Wiley, 2005. [L21]
C. Sistopaoli, R.
Parisi and A. Uncini, "Dereverberation of acoustic signals by
Independent Component Analysis," Lecture Notes in Computer Science, ISBN:
3-540-20227-7, Springer-Verlag Heidelberg, Volume 2859/2003, pp. pp. 165 - 170,
May 2003. [L22]
F. Vitagliano, R.
Parisi and A. Uncini, “Generalized Splitting 2D Flexible Activation Function”,
Lecture Notes in Computer Science, ISBN: 3-540-20227-7, Springer-Verlag
Heidelberg, Volume 2859/2003, pp. 85 - 95, May 2003. [L23] E. D. Di Claudio, R. Parisi,
“Multi-source localization strategies”, in: M. Brandstein, D. Ward, Microphone Arrays: Techniques and
Applications, Springer-Verlag, 2001.
Conferenze |