Abstract
The aim of this paper is to propose a brief summary of the research topics and results presented in the Author’s PhD Thesis, concerning blind signal processing by artificial neural networks. The results are illustrated by the citation of the formal instruments involved in the research activity and by several links to the main published contributions.
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References
S. Fiori, A. Uncini, and F. Piazza, Application of the MEC Network to Principal Component Analysis and Source Separation, Proc. of International Conference on Artificial Neural Networks (ICANN), pp. 571–576, 1997
S. Fiori, P. Campolucci, A. Uncini, and F. Piazza, A New Unsupervised Neural Learning Rule for Orthonormal Signal Processing, Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3349–3352, 1997
S. Fiori, A. Uncini, and F. Piazza, Gradient-Based Blind Deconvo-lution with Flexible Approximated Bayesian Estimator, Proc. of International Joint Conference on Neural Networks (IJCNN), pp. 854–858, 1998
S. Fiori, P. Bucciarelli, and F. Piazza, Blind Signal Flatting Using Warping Neural Modules, Proc. of International Joint Conference on Neural Networks, pp. 2312–2317 (IJCNN), 1998
S. Fiori and F. Piazza, Orthonormal Strongly-Constrained Neural Learning, Proc. of International Joint Conference on Neural Networks (IJCNN), pp. 1332–1337, 1998
S. Fiori, A. Uncini, and F. Piazza, Neural Learning and Weight Flow on Stiefel Manifold, Proc. of X Italian Workshop on Neural Networks (WIRN), pp. 325–333, 1998
S. Fiori, A. Uncini, and F. Piazza, A New Class of APEX-Like PC A Algorithms, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. III, pp. 66–69, 1998
S. Fiori and F. Piazza, BLADE: A New On-Line Blind Equalization Method Based on the Burelian Distortion Measure, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. IV, pp. 441–444, 1998
S. Fiori and A. Uncini, A Unified Approach to Laterally-Connected Neural Nets, Proc. of IX European Signal Processing Conference (EUSIPCO), Vol. I, pp. 379–382, 1998
S. Fiori and F. Piazza, A Study on Functional-Link Neural Units with Maximum Entropy Response, Proc. of International Conference on Artificial Neural Networks (ICANN), Vol. 2, pp. 493–498, 1998
E. Pomponi, S. Fiori, and F. Piazza, Complex Independent Component Analysis by Nonlinear Generalized Hebbian Learning with Rayleigh Nonlinearity, Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 2, pp. 1077–1080, 1999
S. Fiori and F. Piazza, Weighted Least-Squares Blind Deconvolution, Proc. of International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vol. 5, pp. 2507–2510, 1999
S. Fiori and F. Piazza, A Comparison of Three PCA Neural Techniques, Proc. of European Symposium on Artificial Neural Networks (ESANN), pp. 275–280,1999
S. Fiori and F. Piazza, A Second-Order Differential System for Orthonormal Optimization, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. V, pp. 531 - 534, 1999
S. Fiori and F. Piazza, Neural Blind Separation of Complex Sources by Extended Hebbian Learning (EGHA), Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. V, pp. 339–342, 1999
S. Fiori, P. Baldassarri, and F. Piazza, An Efficient Architecture for Independent Component Analysis, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. V, pp. 335–338, 1999
S. Fiori, A. Uncini, and F. Piazza, Blind Deconvolution by Modified Bussgang Algorithm, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. Ill, pp. 1–4, 1999
S. Fiori, A. Uncini, and F. Piazza, Neural Blind Separation of Complex Sources by Extended APEX Algorithm (EAPEX), Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. V, pp. 627–630, 1999
S. Fiori and P. Burrascano, Polynomial Clusterons Exhibit Statistical Estimation Abilities, Proc. of XI Italian Workshop on Neural Networks (WIRN),pp. 113–119, 1999
S. Fiori and P. Burrascano, ‘Mechanical’ Neural Learning and Info-Max Orthonormal Independent Component Analysis, Proc. of International Joint Conference on Neural Networks, July 10–16, 1999, Washington D.C. (MD - USA)
S. Fiori, Blind Source Separation by New M-WARP Algorithm, Electronics Letters, Vol. 35, No. 4, pp. 269–270, Feb. 1999
S. Fiori, Entropy Optimization by the PFANN Network: Application to Independent Component Analysis, Journal: “Network: Computation in Neural Systems”, Vol. 10, No. 2, pp. 171–186, May 1999
S. Fiori, Blind Deconvolution by Spectral Weighted Least-Squares Technique, Electronics Letters, Vol. 35, No. 10, pp. 776–777, May 1999
P. Burrascano, S. Fiori, and M. Mongiardo, A Review of Artificial Neural Networks Applications in Microwave CAD, Int. Journal of RF and Microwave CAE, Vol. 9, No. 3, pp. 158–174, 1999
S. Fiori, ‘Mechanical’ Neural Learning for Blind Source Separation, Electronics Letters, Vol. 35, No. 22, Oct. 1999
S. Fiori and F. Piazza, Neural MCA for Robust Beamforming, Proc. of International Symposium on Circuits and Systems (ISCAS), Vol. Ill, pp. 614–617, May 2000
S. Fiori, An Experimental Comparison of Three PCA Neural Networks, Neural Processing Letters, Vol. 11, No. 3, pp. 209–218, Jun. 2000
S. Fiori, Blind Separation of Circularly-Distributed Sources by Neural Extended APEX Algorithm, Neurocomputing, Vol. 34, No. 1–4, pp. 239–252, Aug. 2000
S. Fiori, Blind Signal Processing by the Adaptive Activation Function Neurons, Neural Networks, Vol. 13, No. 6, pp. 597–611, Aug. 2000
S. Fiori and F. Piazza, A General Class of ψ—APEX PCA Neural Algorithms, IEEE Trans. on Circuits and Systems - Part I, Vol. 47, No. 9, pp. 1394–1398, Sept. 2000
S. Fiori and G. Maiolini, Weighted Least-Squares Blind Deconvolution of Non-Minimum Phase Systems, IEE Proceedings — Vision, Image and Signal Processing, Vol. 147, No. 6, pp. 557–563, Dec. 2000
S. Fiori and P. Bucciarelli, Probability Density Estimation Using Adaptive Activation Function Neurons, Neural Processing Letters, Vol. 13 No. l,pp. 31–42, Feb. 2001
S. Fiori, A Theory for Learning by Weight Flow on Stiefel-Grassman Manifold, Neural Computation, Vol. 13, No. 7, July 2001 (In press)
S. Fiori, P. Burrascano, E. Cardelli, and A. Faba, A Blind Separation Approach to Electromagnetic Source Localization and Assessment, Proc. of 7th International Conference on Engineering Applications of Neural Networks (EANN’2001), July 16–18, 2001, Cagliari (Italy)
S. Costa and S. Fiori, Image Compression Using Principal Component Neural Networks, Image and Vision Computing Journal (special issue on “Artificial Neural Network for Image Analysis and Computer Vision”). Forthcoming, 2001
S. Fiori, Notes on Cost Functions and Estimators for ‘Bussgang’ Adaptive Blind Equalization, European Transactions on Telecommunications (ETT). Accepted for publication
S. Fiori, Hybrid Independent Component Analysis by Adaptive LUT Activation Function Neurons, Neural Networks. Accepted for publication
S. Fiori, A Contribution to (Neuromorphic) Blind Deconvolution by Flexible Approximated Bayesian Estimation, Signal Processing. Accepted for publication
S. Fiori, On Blind Separation of Complex-Valued Sources by Extended Hebbian Learning, IEEE Signal Processing Letters. Accepted for publication
S. Fiori, Web page at the University of Perugia, Address: http://www.unipg.it/~sfr/
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Fiori, S. (2002). Topics in Blind Signal Processing by Neural Networks. In: Tagliaferri, R., Marinaro, M. (eds) Neural Nets WIRN Vietri-01. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0219-9_3
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DOI: https://doi.org/10.1007/978-1-4471-0219-9_3
Publisher Name: Springer, London
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