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