Yannis Kopsinis -
      publications
                                    
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Book Chapters

B1   S. Theodoridis, Y. Kopsinis, and K. Slavakis, "Sparsity-aware learning and compressed sensing: An overview," In Academic Press Library in Signal Processing: Volume 1 Signal Processing Theory and Machine Learning, vol. 1, ch. 23, pp. 1271-1377, Elsevier, 2014, preprint: arXiv

B2   S. Chouvardas, Y. Kopsinis, and S. Theodoridis, "Sparsity–Aware Distributed Learning," In Tom Luo, Alfred Hero, Jose Moura, Shuguang Cui (eds), Big Data over Networks, Cambridge University Press, 2015 (to appear).


Journal Papers




J15
K. Slavakis, Y. Kopsinis, S. Theodoridis, and S. McLaughlin, “Generalized thresholding and online sparsity-aware learning in a union of subspaces,” IEEE Transactions on Signal Processing, vol. 61, no. 15, pp. 3760-3773, 2013.
J14
S. Chouvardas, K. Slavakis, Y. Kopsinis, and S. Theodoridis. "A sparsity promoting adaptive algorithm for distributed learning," IEEE Transactions on Signal Processing, vol. 60, no. 10, pp. 5412-5425, Oct. 2012.
J13:
E. Aboutanios, Y. Kopsinis, D. Rubtsov, “Instantaneous Frequency based Spectral Analysis of Nuclear Magnetic Spectroscopy Data,” Computers and Electrical Engineering, Elsevier, Volume 38, Issue 1,  January 2012, Pages 52–67.
J12:
Y. Kopsinis, K. Slavakis, S. Theodoridis. “Online sparse system identification and signal reconstruction using projections onto weighted L1  balls,” IEEE Trans. on Signal Processing, pp. 936-952, Mar. 2011. Details... 
J11:
Y. Kopsinis, E. Aboutanios, D. A. Waters, S. McLaughlin, "Time-frequency and advanced frequency estimation techniques for the investigation of bat echolocation calls," Journal of Acoustical Society of America (JASA), vol. 127(2), Feb 2010.  Details...
J10:
M. Matthaiou, Y. Kopsinis, D. Laurenson, and A. Sayeed, “Ergodic Capacity Upper Bound for Dual MIMO Ricean Systems: Simplified Derivation and Asymptotic Tightness,” IEEE Transactions on Communications, pp 3589-3596, Dec. 2009.  Details...
J9: Y. Kopsinis, S. McLaughlin, “Development of EMD-based Denoising Methods Inspired by Wavelet Thresholding,” IEEE Trans. on Signal Processing, pp. 1351-1362, Apr. 2009.  Details...
J8:  Y. Kopsinis, S. McLaughlin, “Improved EMD using doubly-iterative sifting and high order spline interpolation,” EURASIP journal on Advances in Signal Processing,  Mar. 2008.  Details...
J7: Y. Kopsinis, S. McLaughlin, “Investigation and Performance Enhancement of the Empirical Mode Decomposition Method Based on a Heuristic Search Optimization Approach,” IEEE Trans. on Signal Processing, pp. 1-13, Jan. 2008.   Details...
J6: Y. Kopsinis, J. S. Thompson, and B. Mulgrew, “System-Independent Threshold and BER Estimation in Optical Communications Using the Extended Generalized Gamma Distribution,” Elsevier, Optical Fiber Technology, vol. 13, pp. 39-45, 2007.  Details...
J5: E. Kofidis, V. Dalakas, Yannis Kopsinis, and Sergios Theodoridis, “A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with M-QAM Signaling,” EURASIP journal on Advances in Signal Processing, pp. 1-16, 2006.  Details...
J4: Y. Kopsinis, S. Theodoridis, E. Kofidis, “An Efficient Low Complexity Cluster Based MLSE Equalizer for Frequency Selective Fading Channels,” IEEE trans. οn Wireless Communications, pp. 705 – 711, April 2006.   Details...
J3: E. Kofidis, Y. Kopsinis, S. Theodoridis, “On the least-squares performance of a novel efficient center estimation method for clustering-based MLSE equalization,” IEEE trans. οn Signal Processing, pp. 1459-1471, Apr. 2006.   Details...
J2: Y. Kopsinis, S. Theodoridis, “An efficient low complexity technique for MLSE equalizers for linear and nonlinear channels,” IEEE trans. on Signal Processing, Vol. 51,  pp. 3236-3248, Dec. 2003.   Details...
J1: Y. Kopsinis, S. Theodoridis, “A novel cluster based MLSE equalizer for M-PAM signaling schemes” Signal Processing 83 (2003) pp. 1905-1918.   Details...



Conference Papers


C29
Y. Kopsinis, S. Chouvardas, S. Theodoridis, “Sparsity-Aware Learning in the Context of Echo Cancelation: A Set Theoretic Estimation Approach," In Proc. of  EUSIPCO, Lisbon, 2014.
C28
Y. Kopsinis, H V Georgiou, S. Theodoridis, “fMRI Unmixing Via Properly Adjusted Dictionary Learning,"  In Proc. of  EUSIPCO, Lisbon, 2014.
C27
S. Chouvardas, Y. Kopsinis, S. Theodoridis, “An Adaptive Projected Subgradient based Algorithm for Robust Subspace Tracking,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence: Italy,  May, 2014. (To be presented)
C26
G. O. Glentis, Y. Kopsinis, K. Georgoulakis, C. Matrakidis, “Electronic Dispersion Compensation of Fiber Links using sparsity induced Volterra Equalizers,”  In Proc. Of IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2013.
C25
K. Slavakis, Y. Kopsinis, S. Theodoridis,  “New operators for fixed-point theory: The sparsity-aware learning case”  In Proc. of EUSIPCO (special session "Advances in set theoretic estimation and convex analysis for machine learning and signal processing tasks"), Marrakech, Morocco, Sept. 9-13, 2013.
C24

K. Slavakis, Y. Kopsinis, S. Theodoridis, G. B. Giannakis, and V. Kekatos. “Generalized iterative thresholding for sparsity-aware online Volterra system identification,”  In Proc. of International Symposium on Wireless Communication Systems (ISWCS), Ilmenau: Germany, Aug. 27-30, 2013.

C23
S. Theodoridis, Y. Kopsinis, K. Slavakis, and S. Chouvardas, “Sparsity-aware adaptive learning: A set theoretic estimation approach”,  In Proc. of IFAC International Workshop on Adaptation and Learning in Control and Signal Processing (ALCOSP), Caen: France, July 3-5, 2013, (plenary paper).
C22

Y. Kopsinis, K. Slavakis, S. Theodoridis, and S. McLaughlin, “Thresholding-based sparsity-promoting online algorithms of low complexity,”  In Proc. of ISCAS, Beijing, China, May 19-23, 2013.

C21
S. Chouvardas, K. Slavakis, Y. Kopsinis, and S. Theodoridis. "Sparsity-promoting adaptive algorithm for distributed learning in diffusion networks," in Proceedings of the European Signal Processing Conference (EUSIPCO), Bucharest: Romania, Aug. 27-31, 2012
C20
Y. Kopsinis, K. Slavakis, S. Theodoridis, and S. McLaughlin. "Generalized thresholding sparsity-aware algorithm for low complexity online learning," In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3277-3280, Kyoto: Japan, March 25-30, 2012
C19
K. Slavakis, Y. Kopsinis, and S. Theodoridis. Robust adaptive sparse system identification by using weighted l1 balls and Moreau envelopes, in Proceedings of the European Signal Processing Conference (EUSIPCO), Barcelona: Spain, Aug. 29 - Sept. 2, 2011, (presented in the Special Session Sparsity aware processing: theory and applications").
C18:
E. Aboutanios, Y. Kopsinis, “An Instantaneous Frequency Based Algorithm for the Processing of NMR data,” in Proceedings of the 17th International Conference on Digital Signal Processing (DSP2011).
C17:
Y. Kopsinis, K. Slavakis, S. Theodoridis, S. McLaughlin, “Reduced complexity online sparse signal reconstruction using projections onto weighted l1 balls,” 17th International Conference on Digital Signal Processing (DSP2011) (invited paper).
C16:
K. Slavakis, Y. Kopsinis, S. Theodoridis, “Revisiting Adaptive Least-Squares Estimation and Application to Online Sparse Signal Recovery,” 36th International Conference on Acoustics, Speech and Signal Processing (ICASSP – 2011).
C15:
E. Aboutanios, Y. Kopsinis, D. V. Rubtsov, “IF-based Algorithm for the Spectral Analysis of Nuclear Magnetic Spectroscopy Metabolomics Data,” Image and Signal Processing (CISP), 2010 3rd International Congress on , vol.7, no., pp.3428-3432, 16-18 Oct. 2010, (Best Paper Award).
C14:
K. Slavakis, Y. Kopsinis, S. Theodoridis, “Adaptive Algorithm for Sparse System Identification Using Projections onto Weighted l1 Balls’’. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’ 10).
C13:
Y. Kopsinis, E. Aboutanios, D. A. Waters, S. McLaughlin, "Investigation of bat echolocation calls using high resolution spectrogram and instantaneous frequency based analysis," IEEE Workshop on Statistical Signal Processing, Aug 2009.
C12:
Y. Kopsinis, S. McLaughlin, “Empirical Mode Decomposition Based Soft-Thresholding,” 16th European Signal Processing Conference, EUSIPCO 2008.
C11:
Y. Kopsinis, S. McLaughlin, “Empirical Mode Decomposition Based Denoising Techniques,” 1st IAPR Workshop on Cognitive Information Processing, CIP 2008.
C10:
Y. Kopsinis, S. McLaughlin, “Enhanced Empirical Mode Decomposition Using a Novel Sifting-Based Interpolation Points Detection,” IEEE Statistical Signal Processing Workshop, SSP 2007.
C9: Y. Kopsinis, S. McLaughlin, “Investigation of the Empirical Mode Decomposition Based on Genetic Algorithm Optimization Schemes,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’ 07).
C8: Y. Kopsinis, S. McLaughlin, “On the Performance Enhancement of the Empirical Mode Decomposition,” 7th IMA - International Conference on Mathematics in Signal Processing, Dec. 2006.
C7: Y. Kopsinis, J. S. Thompson, B. Mulgrew, I. Neokosmidis, T. Kamalakis, T. Sphicopoulos, “Electronic Suppression of the Four-Wave Mixing-Induced Distortion in WDM Optical Communication Systems,” IEE Photonics Professional Network Seminar on Optical Fibre Communications and Electronic Signal Processing, Dec. 2005.
C6: Y. Kopsinis, J. S. Thompson, and B. Mulgrew, “Performance Evaluation of Optical Communication Systems Using   Extreme Value Theory,” IEE Photonics Professional Network Seminar on Optical Fibre Communications and Electronic Signal Processing, Dec. 2005 .
C5: Y. Kopsinis, J. S. Thompson, S. McLaughlin and B. Mulgrew, “Characterization and Equalization of Nonlinear Optical Fiber Communications Systems,” 6th IMA International Conference on Mathematics in Signal Processing, Dec. 2004.
C4: Y. Kopsinis, S. Theodoridis, “A novel low complexity Cluster Based MLSE equalizer for QPSK signaling scheme,” Proc. DSP-2000, Santorini, Creece, Jul. 2002.
C3: Y. Kopsinis, S. Theodoridis, “A novel cluster based MLSE equalizer for 2-PAM signaling scheme,” Proc. EUSIPCO 2002, Toulouse, France.
C2: Y. Kopsinis, S. Theodoridis, “Co-Channel Interference Rejection Using Clustering Techniques and Fuzzy Inference,” Proceedings EUSIPCO 2000, Tampere, Finland, Sep. 2000.
C1: Y. Kopsinis, S. Theodoridis “Reduced-Complexity clustering techniques for nonlinear channel equalization,” Proceedings of WCC 2000(ICSP), Beijing, China.