Journals

  1. De Wit, J., Angelopoulos, K., Kalkman, J., & Glentis, G. O. (2021). Fast and accurate spectral-estimation axial super-resolution optical coherence tomography. Optics Express, 29(24), 39946-3996
  2. Nanou, M., Politi, C. T., Stavdas, A., Georgoulakis, K., and Glentis, G.O. High Speed High performance DQPSK optical links with reduced complexity VDFE equalizers, Photonics, Special Issue on Communications (2017)
  3. Nanou, M., Politi, C. T., Stavdas, A., Glentis, G. O., Georgoulakis, K., Emeretlis, A., & Theodoridis, G. (2016). Cost-effective optical transponders for deployed metropolitan area networks. Optics Communications, 380, 201-213.
  4. Glentis, George-Othon. "An efficient implementation of the Memory Improved Proportionate Affine Projection Algorithm." Signal Processing 118 (2016): 25-35.
  5. G. O. Glentis, K. Zhao, A. Jakobsson, H. Abeida, and J. Li, SAR Imaging via Efficient Implementations of Sparse ML Approaches, Signal Processing, Volume 95, February 2014, Pages 15-26
  6. J. Karlsson, W. Rowe, L. Xu, G. Glentis, and J. Li, Fast Missing-Data IAA with Application to Notched Spectrum SAR, IEEE Trans. Aerospace Tech (TAES), special issue on "Compressed Sensing Applied to Radar". Vol. 50, issue 2, pp. 959 – 971, April 2014
  7. J. Jensen, G. Glentis, M. Christensen, A. Jakobsson, and S. Jensen, Fast LCMV-based Methods for Fundamental Frequency Estimation, IEEE Trans. Signal Processing, vol.61, no.12, pp.3159-3172, June15, 2013
  8. K. Angelopoulos, G.O. Glentis, A. Jakobsson, Computationally efficient sparsity-inducing coherence spectrum estimation of complete and non-complete data sets, Signal Processing, Volume 93, Issue 5, May 2013, Pages 1221-1234
  9. Glentis, G.O.; Zhao, K.; Jakobsson, A.; Li, J.; , "Non-Parametric High-Resolution SAR Imaging," IEEE Transactions on Signal Processing, vol.61, no.7, pp.1614,1624, April1, 2013
  10. Angelopoulos, K.; Glentis, G.O.; Jakobsson, A.; , "Computationally Efficient Capon- and APES-Based Coherence Spectrum Estimation," IEEE Transactions on Signal Processing, vol.60, no.12, pp.6674-6681, Dec. 2012
  11. Glentis, G.O.; Jakobsson, A.; "Superfast Approximative Implementation of the IAA Spectral Estimate," IEEE Transactions on Signal Processing, vol.60, no.1, pp.472-478, Jan.2012
  12. Jakobsson, A.; Glentis, G.O.; Gudmundson, E.; , "Computationally Efficient Time-Recursive IAA-Based Blood Velocity Estimation," IEEE Transactions on Signal Processing, vol.60, no.7, pp.3853-3858, July 2012
  13. K. Georgoulakis and G. Glentis, An Efficient Decision Feedback Equalizer for the ATSC DTV Receiver, in Signal Processing, Volume 91, Issue 11, November 2011, Pages 2671-2676
  14. G.O. Glentis and A. Jakobsson, Efficient Implementation of Iterative Adaptive Approach Spectral Estimation Techniques, IEEE Transactions on Signal Processing,vol.59, no.9, pp.4154-4167, Sept. 2011
  15. D. Kotoulas, P. Koukoulas, G.O. Glentis, Subspace based blind identification of LTI FIR MIMO systems and equalization of finite memory SIMO Volterra systems, Signal Processing, Vol. 91, Issue 8, Aug. 2011, pp 1941-1950.
  16. G.O. Glentis and A. Jakobsson, Time-recursive IAA spectral estimation, IEEE Signal Processing Letters, vol. 18, no. 2, pp. 111-114, Feb. 2011.
  17. G.O. Glentis,Efficient Algorithms for Adaptive Capon and APES Spectral Estimation, IEEE Trans. Signal Proc, vol. 57, no.1, pp. 84-96, Jan. 2010.
  18. G.O. Glentis, A fast algorithm for APES and Capon spectral estimation," IEEE Trans. Signal Proc., vol. 56, no. 9, pp. 4207-4220, Sept. 2008
  19. G.Glentis and K. Georgoulakis, Pipelined architectures for the frequency domain linear equalizer, Applied Math. Comp. Sci., Vol. 16, No. 4, 525-535, 2006.
  20. G.Glentis and K.Georgoulakis, Pipelined architectures for the LMS adaptive Volterra filter, Foundations of Computing and Decision Sciences,Vol. 31, VOL 31; PART 2, pages 135-156
  21. G.Glentis, ' An efficient affine projection algorithm for 2-D FIR adaptive filtering and linear prediction,' Signal Processing, 86, pp. 98-116, 2006.
  22. G.Glentis, ' Pipelined architectures for transform domain LMS adaptive filtering,' Journal of Circuits, Systems and Computers, August 2005,14:03, 553-580
  23. G.Glentis, ' Efficient fast recursive least squares adaptive complex filtering using real valued arithmetic,' Signal Processing 85 , pp. 1759-1779, 2005
  24. G.Glentis, ' Implementation of Adaptive Generalized Sidelobe Cancellers Using Efficient Complex Valued Arithmetic,' Applied Math. Comp. Sci.,Vol. 13, No. 4, pp. 549-566, 2003.
  25. G.O. Glentis, 'LCMV adaptive beamforming using pipelined transform domain filters,' International Journal Computer Research, vol. 12, no. 1, pp..23-42, Jan. 2003
  26. G.O Glentis, and K. Georgoulakis, 'Adaptive Least Squares algorithms for Two- Dimensional system identification and filtering: a unified approach', Foundations of Computing and Decision Sciences, Vol. 28, No. 2, 95-112
  27. G.O. Glentis, and K. Georgoulakis, 'Performance analysis of the frequency domain LMS adaptive filter using the sliding DFT,' Foundations of Computing and Decision Sciences vol. 27, pp. 27-41, 2002.
  28. G.Glentis, C.H. Slump and O.E. Herrmann, ' A True Order Recursive Algorithm for Two-Dimensional Mean Squared Error Linear Prediction and Filtering', Signal Processing 80, pp. 1399-1418, 2000
  29. G.O. Glentis, K. Berberidis, and S. Theodoridis, Efficient least squares adaptive algorithms for FIR transversal filtering: a unified view, IEEE Signal Processing Magazine, pp. 13-42, July 1999
  30. G.O. Glentis, P. Koukoulas, and N. Kalouptsidis, Efficient algorithms for Volterra System Identification, IEEE Trans. on Signal Processing, vol. 47, pp. 3042-3057, Nov. 1999
  31. G.O. Glentis, On the Duality between the Fast Transversal and the Fast Rotors Adaptive Least Squares Algorithms, IEEE Trans. Signal Processing, vol. 47, pp. 2309-2313, Aug. 1999.
  32. G.O. Glentis, C.H. Slump and O.E. Herrmann, ' A versatile algorithm for two-dimensional symmetric noncausal modeling' IEEE Trans. on Circuits and Systems, CAS-II, Feb. 1998.
  33. I. Bouras, G. Glentis, and N. Kalouptsidis, 'Architectures for Block Toeplitz systems', Signal Processing, vol. 51, 1996, pp. 167-190.
  34. G. Glentis, and N. Kalouptsidis, 'A highly modular adaptive lattice algorithm for multichannel least squares filtering,' Signal Processing, vol 46, no 1, 1995
  35. G. Glentis, 'Fast algorithms for the efficient QR factorization of Toeplitz matrices,' Signal Processing vol. 42, no 1, pp. 19-36, 1995
  36. G. Glentis and N. Kalouptsidis, 'Efficient multichannel FIR filtering using a step versatile order recursive algorithm,' Signal Processing, vol 37, No 3, pp. 437-462, June 1994.
  37. G. Glentis and N. Kalouptsidis, 'Solution of block linear systems of Toeplitz equations using a channel decomposition technique,' Signal Processing, vol 37, No 1, pp. 15-60, May 1994.
  38. G. Glentis and N. Kalouptsidis, 'Finite Precision Analysis of a Covariance Algorithm for LS FIR Filtering and AR modeling,' IEEE Transactions on Signal Processing, pp. 2990-3002, Oct. 1993.
  39. G. Glentis, G. Antoniou, and S. Mentzelopoulou, 'Determination of the transfer matrix of multidimensional-singular systems,' International Journal of System Science, Vol. 24, iss. 1, pp 211-218, Jan. 93
  40. G. Glentis and N. Kalouptsidis, 'Efficient Algorithms for the Solution of Block Linear Systems with Toeplitz Entries,' Linear Algebra and Its Applications, January 1993.
  41. G. Glentis and N. Kalouptsidis, 'Fast Adaptive Algorithms for Multichannel Filtering and System Identification,' IEEE Transactions on Signal Processing, pp. 2433- 2458, October 1992.
  42. G. Glentis and N. Kalouptsidis, 'Efficient Order Recursive Algorithms for Multichannel Least Squares Filtering,' IEEE Transactions on Signal Processing, pp.1354- 1374, June 1992.
  43. G. Glentis and N. Kalouptsidis, 'Efficient Adaptive Algorithms for Multichannel Least Squares Filtering Using a Channel Decomposition Technique,' Computers and Electrical Engineering, SPECIAL ISSUE on Adaptive Signal Processing, Vol. 2, May 1992.
  44. G. Antoniou, S. Mentzelopoulou, G. Glentis, 'Determination of the Transfer Function of Two- Dimensional Generalized Systems via the Discrete Fourier Transform,' IEE Proceedings, Part-D, Control and Applications, Vol 138, pp. 327- 330, July 1991
  45. S. Mentzelopoulou, G. Glentis, G. Antoniou, 'Transfer Function Computation of Two- Dimensional Singular Systems,' Foundations of Computing and Decision Sciences, Vol. 15, pp. 96-103, 1990.
  46. G. Antoniou, G. Glentis, S. Varoufakis, D. Karras, 'Transfer Function Determination of Singular Systems Using the DFT,' IEEE Trans. Circuits and Systems, pp. 1140- 1142, Aug. 1989.

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Conferences

  1. J. de Wit, K. Angelopoulos, G.O. Glentis and J. Kalkman, 'Spectral estimation optical coherence tomography for retinal imaging,' submitted
  2. C. Angelopoulos, K. Georgoulaki, and G.O. Glentis, 'Evaluating the impact of spectral estimators on frequency domain feature classification applications for pipe leakage detection,' submitted IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022
  3. G.O. Glentis and K. Angelopoulos, 'Using Generalized Cross-Correlation estimators for leak signal velocity estimation and spectral region of operation selection,' submitted IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022
  4. K. Angelopoulos and G.O. Glentis, 'Fast convolution and correlation computational methods in leakage localization applications,' In 25th Pan-Hellenic Conference on Informatics 2021.
  5. K. Angelopoulos and G.O. Glentis, 'Nonparametric Spectral Estimation - An overview,' In 25th Pan-Hellenic Conference on Informatics 2021.
  6. J. de Wit, K. Angelopoulos, J. Kalkman and G.O. Glentis, 'Axial super-resolution for optical coherence tomography with the iterative adaptive approach,' in 2021 OSA Imaging and Applied Optics Congress, July 19-23.
  7. K. Angelopoulos and G.O. Glentis, 'Performance assessment of correlation methods for the velocity estimation of vibro-acoustic signals propagating in fluid-filled pipelines,' in 10th International Conference on Circuits and Systems Technologies (MOCAST 2021), 5-7 July, IEEE.
  8. G.O. Glentis and K. Angelopoulos, 'Sound velocity measurement in acoustic leak noise correlation systems,' IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021, May 17-20.
  9. G.O. Glentis, K. Georgoulaki, and C. Angelopoulos, 'Efficient selection of time domain features for leakage detection in pipes carrying liquid commodities,' IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021, May 17-20.
  10. G.O. Glentis, K. Georgoulaki, and C. Angelopoulos, 'Leak detection in the pipeline network of an oil refinery - A pattern classification paradigm,' In 24th Pan-Hellenic Conference on Informatics 2020 Nov 20 (pp. 178-182), ACM.
  11. K. Angelopoulos and G.O. Glentis, 'A test and measurement assisted leak vibration signal analysis for leakages in metallic pipelines,' In 24th Pan-Hellenic Conference on Informatics 2020 Nov 20 (pp. 214-218), ACM.
  12. Nikolaidis, S., Porlidas, D., Glentis, G.O., Kalfas, A. and Spandonidis, C., 2019, July. 'Smart sensor system for leakage detection in pipes carrying oil products in noisy environment: The ESTHISIS Project' In 2019 29th International Symposium on Power and Timing Modeling, Optimization and Simulation (PATMOS) (pp. 125-126), IEEE.
  13. Glentis, G.O., Angelopoulos, K., Nikolaidis, S., Kousiopoulos, G.P., Porlidas, D. and Gkountis, D., 'Study of the acoustic noise in pipelines carrying oil products in a refinery establishment,' Proceedings of the 23rd Pan-Hellenic Conference on Informatics (pp. 34-41), 2019, November, ACM.
  14. Glentis, G.O. and Angelopoulos, K., 'Leakage detection using leak noise correlation techniques: overview and implementation aspects,' Proceedings of the 23rd Pan-Hellenic Conference on Informatics (pp. 50-57), 2019, November, ACM.
  15. Angelopoulos, K. and Glentis, G.O., 'Time difference of arrival estimation using correlation-based methods: experimental validation via acoustic signal propagation,' 2019 Panhellenic Conference on Electronics & Telecommunications (PACET) (pp. 1-6). IEEE, 2019, November.
  16. A.Emeretlis, V. Kelefouras, G. Theodoridis, , M. Nanou, C.(T.) Politi, K. Georgoulakis, and G.O. Glentis FPGA implementation of a MIMO DFE in 40 GB/S DQPSK optical links, in EUSIPCO 2015.
  17. C(T) Politi, M. Nanou and G.O. Glentis, Adaptive Bit Rate Variable Cost-Effective Optical Networks, in ICTON 2015, Budapest.
  18. M. Nanou, A. Emeretlis, C.(T.) Politi, G. Theodoridis, K. Georgoulakis, and G.O. Glentis "40 Gb/s FPGA Implementation of a Reduced Complexity Volterra DFE for DQPSK Optical Links, in ICTON 2015, Budapest.
  19. K. Georgoulakis and G.O. Glentis, Clustering Based Sequence Equalizer in Direct Detection DQPSK Optical Signaling, in ICTON 2015, Budapest
  20. G.O. Glentis, K. Georgoulakis, and K. Angelopoulos, Dispersion Compensation of Fiber Links Using Pruned Volterra Equalizers, to appear in Signal Processing in Photonics Communications (SPPCom) 2015, Boston, US.
  21. I.Stamoulias, K. Georgoulakis, S. Blionas and G.O. Glentis, FPGA Implementation of an MLSE Equalizer in 10Gb/s Optical Links, in DSP 2015, Singapore.
  22. K. Georgoulakis and G.O. Glentis, Performance Evaluation of the Clustering Based Sequence Equalizer in Direct Detection Optical Communication Links, Photoptics 2015, Berlin.
  23. Andreas Emeretlis. Vassileios Kelefouras, George Theodoridis, George - Othon Glentis EFFICIENT FPGA IMPLEMENTATIONS OF VOLTERRA DFES FOR OPTICAL SYSTEMS, IEEE DCAS 2014
  24. Andreas Emeretlis, George Theodoridis and George -Othon Glentis.High-Performance FPGA Implementations of Volterra DFEs for Optical Fiber Systems. Reconfig 2014.
  25. Glentis, George-Othon and Georgoulakis, Kristina and Matrakidis, Chris and Politi, Christina Tanya and Stavdas, Alexandros Adaptive Optical Technologies for Optical Transmission Systems, Nanou, Maki and, Proceedings of the 18th Panhellenic Conference on Informatics, 2014
  26. G.O. Glentis, ADAPTIVE IDENTIFICATION OF SPARSE SYSTEMS USING THE SLIM APPROACH, 22nd European Signal Processing Conference (Eusipco 2014)
  27. Glentis, George-Othon and Karlsson, Johan and Jakobsson, Andreas and Li, Jian, EFFICIENT SPECTRAL ANALYSIS IN THE MISSING DATA CASE USING SPARSE ML METHODS, 22nd European Signal Processing Conference (Eusipco 2014)
  28. Glentis, G.-O.; Georgoulakis, K.; Angellopoulos, K., "Adaptive channel identification in optical fiber communication systems," Transparent Optical Networks (ICTON), 2014 16th International Conference on , vol., no., pp.1,4, 6-10 July 2014
  29. Glentis, G.-O.; Politi, C.T.; Matrakidis, C.; Nanou, M.; Uzunidis, D.; Georgoulakis, K.; Stavdas, A., "Cost-effective adaptive optical network technologies for Metropolitan Area Networks," Transparent Optical Networks (ICTON), 2014 16th International Conference on , vol., no., pp.1,4, 6-10 July 2014
  30. G-O Glentis, A. Jakobsson and K. Angelopoulos, Block-Recursive IAA-based Spectral Estimates with Missing Samples using data interpolation, ICASSP2014, May 4-9, 2014, Firenze, Italy.
  31. G.O Glentis; K. Georgoulakis and C. Matrakidis, Performance Evaluation of Decision Feedback Equalizers in Fiber Communication Links, 6th International Symposioum on Communications, Control and Signal Processing, May 21-23, 2014, Athens, Greece
  32. G. O. Glentis, Y. Kopsinis, K. Georgoulakis, and C. Matrakidis, Electronic Dispersion Compensation of Fiber Links using sparsity induced Volterra Equalizers, Thirteenth IEEE International Symposium on Signal Processing and Information Technology December 12-15, 2013 - Athens, Greece.
  33. G. O. Glentis, K. Zhao, A. Jakobsson, H. Abeida, and J. Li , SAR Imaging using Sparse ML Approaches, 47th Annual Asilomar Conference on Signals, Systems, and Computers, California, USA Nov. 2013
  34. G.O. Glentis and A. Jakobsson, COMPUTATIONALLY EFFICIENT DAMPED CAPON AND APES SPECTRAL ESTIMATION, EUSIPCO Sept. 2013
  35. W. Rowe ; J. Karlsson ; L. Xu ; G.O. Glentis ; J.Li; SAR imaging in the presence of spectrum notches via fast missing data IAA . Proc. SPIE 8744, Automatic Target Recognition XXIII, 87440X (June 10, 2013);
  36. J. Karlsson, W. Rowe, L.Xu, G. Glentis, and J. Li, Fast Missing-Data IAA by Low Rank Completion, ICASSP May 2013 G. O. Glentis, A. Jakobsson, and K. Angelopoulos, Time-updating IAA-based spectral estimates with missing samples using data interpolation, ICASSP May 2013
  37. Adalbjornsson, S.I.; Glentis, G.; Jakobsson, A.; , "Efficient block and time-recursive estimation of sparse Volterra systems," Statistical Signal Processing Workshop (SSP), 2012 IEEE , vol., no., pp.173-176, 5-8 Aug. 2012
  38. Angelopoulos, K.; Glentis, G.; Jakobsson, A.; , "Efficient time recursive coherence spectrum estimation," Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European , vol., no., pp.425-429, 27-31 Aug. 2012
  39. Jensen, J.R.; Glentis, G.; Christensen, M.G.; Jakobsson, A.; Jensen, S.H.; , "Computationally efficient IAA-based estimation of the fundamental frequency," Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European , vol., no., pp.2163-2167, 27-31 Aug. 2012
  40. K. Georgoulakis, G. Glentis, C. Matrakidis, and A. Stavdas Reduced complexity fractionally spaced rbf equalizer for optical channels Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012, Pages 82-85
  41. Glentis, G.-O.; Jakobsson, U.A.; , "Fast algorithms for Iterative Adaptive Approach spectral estimation techniques," Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on , vol., no., pp.4252-4255, 22-27 May 2011
  42. Glentis, G.-O.; Jakobsson,U.A. PRECONDITIONED CONJUGATE GRADIENT IAA SPECTRAL ESTIMATION, Eusipco 2011, Barchelona
  43. Angelopoulos, K.; Glentis, G.-O.; Jakobsson, A.; , "Efficient implementation of the IAA-based Magnitude Squared Coherence estimator," Digital Signal Processing (DSP), 2011 17th International Conference on , vol., no., pp.1-6, 6-8 July 2011
  44. K. Georgoulakis, C. Matrakidis, G. Glentis and A. Stavdas, Reduced Complexity Fractionally Spaced Clustering Based Equalizer for Optical Channels, Signal Processing in Photonic Communications (SPPCom), Germany 2010
  45. G.O. Glentis, FRLS complex Decision Feedback adaptive channel equalizer using real valued arithmetic, EUSIPCO 2004, Sept. 2004, Austria.
  46. G.O. Glentis , 'Adaptive LCMV beamforming using a pipelined lattice algorithm,' IASTED Sig. Proc Patt. Rec. Conf. (SPPR-02), Crete 2002
  47. G.O. Glentis and K. Georgoulakis , 'A pipelined frequency domain linear equalizer', IASTED Sig. Proc Patt. Rec. Conf. (SPPR-02), Crete 2002
  48. G.O. Glentis , 'Adaptive beamforming using transform domain filters,' 7th CCSC, WSEAS Conference, Crete, 2002
  49. G.O. Glentis and K. Georgoulakis, 'Underdetermined LS algorithm for adaptive 2D FIR filtering', Mathematical Methods and Computational Techniques (MMACTEE-01), Athens 2001.
  50. G.O. Glentis and K. Georgoulakis, 'Performance analysis of the frequency domain LMS adaptive filter using the sliding DFT,' Mathematical Methods and Computational Techniques (MMACTEE-01), Athens 2001.
  51. G. Glentis, 'Low-Delay pipelined architectures for the TD-LMS adaptive filter', 6th CCSC, WSEAS Conference, Crete, 2002
  52. G.O. Glentis , 'A pipelined fast newton transversal filter', EUSIPCO-02 Conf., Toulouse 2002.
  53. G. Glentis , A Fast affine projection algorithm for 2-D filtering and linear prediction, IEEE ICIP-01, October 2001, Thessaloniki, Greece.
  54. G. Glentis , An efficient pipelined LMS algorithm for Volterra system identification, NSIP-01, May 2001, Baltimore, USA
  55. G. Glentis , Pipelined architectures for the TD-LMS adaptive filter, IEEE ICASSP-2001, May, Salt Lake, USA.
  56. G. Glentis , Efficient algorithms for three-dimensional filtering and linear prediction, EUSIPCO-2000, Sept. 2000, Finland
  57. G. Glentis , A true-order recursive algorithm for two-dimensional least-squares error linear prediction and filtering, EUSIPCO-98, pp. 817-920, Sept. 1998, Rodos, Greece.
  58. G. Glentis and N. Kalouptsidis, An efficient order recursive algorithm for Volterra system identification, EUSIPCO-98, pp. 1373-1376, Sept. 1998, Rodos, Greece.
  59. G. Glentis, On the duality between the fast transversal and the fast rotors adaptive least squares algorithms, 97-DSP Conference, July 1997, Santorini, Greece.
  60. G. Glentis and C. Slump, 'A Highly modular normalized adaptive lattice algorithm for multichannel LS filtering,' IEEE ICASSP-95, Detroit, May 1995
  61. G.O. Glentis, M.M. Samsom, C.H. Slump, 'VLSI Implementation of an Adaptive Lattice Filter,' ProRISC/IEEE Workshop on Circuits, Systems and Signal Processing, March 1995
  62. G.O. Glentis and S.H. Gerez, 'Very High Speed Least Squares Adaptive Multichannel Filtering and System Identification', ProRISC/IEEE Workshop on Circuits, Systems and Signal Processing, March 1995
  63. G.O. Glentis, J. Rooijen, C. Slump and O. Herrmann, 'System identification algorithms for sparse systems with application to TV ghost cancelling', ProRISC/IEEE Workshop on Circuits, Systems and Signal Processing, March 1995
  64. G. Glentis, C. Slump and O. Herrmann, 'An Efficient Algorithm for Two-Dimensional FIR filtering and System Identification,' SPIE VCIP-94, Chicago, pp. 220-232.
  65. G. Glentis, C. Slump and O. Herrmann, 'A versatile algorithm for Two-Dimensional symmetric noncausal modeling,' IEEE ICIP-94, Austin.
  66. G. Glentis, C. Slump and O. Herrmann, 'Efficient Two-Dimensional ARX modeling, IEEE ICIP-94, Austin. N. Kalouptsidis, G. Glentis and P. Koukoulas, 'Efficient algorithms for parameter Volterra system identification,' EUSIPCO-94, Edinburgh, pp. 212-215.
  67. G. Glentis, N. Kalouptsidis, 'Efficient algorithms for instrumental variable system identification,' EUSIPCO-94, Edinburgh, pp. 1831-1834.
  68. G. Glentis and N. Kalouptsidis, 'Efficient multichannel FIR filtering using a step versatile order reursive algorithm, IFAC SYSID-94, Copenhagen, 1994.
  69. G. Glentis and N. Kalouptsidis, 'Efficient algorithms for second order polynomial system identification,' EUSIPCO Conf., Brussels, 1992.
  70. G. Glentis, 'A fast algorithm for QR decomposition of Toeplitz matrices, NATO ASI on Linear Algebra and Real-Time Applications, Louven, Belgium, 1992.
  71. G. Glentis and N. Kalouptsidis, 'Finite precision analysis of a covariance algorithm for LS FIR filtering and AR modeling,' 9th IFAC/IFORS, Symbosium on Identification and System Parameters Estimation, Budapest, 1991
  72. G. Glentis and N. Kalouptsidis, 'Fast algorithms for 2-D least squares FIR filtering,' IEEE Int. Conf.-ASSP Toronto, 1991.
  73. Ι.Bouras, G. Glentis and N. Kalouptsidis, 'Efficient implementation of block toeplitz solvers in VLSI array processors,' IMAS/PDCOM Corfu, Greece 1991.
  74. G. Glentis and N. Kalouptsidis, 'Efficient order recursive algorithms for multichannel LS filtering, IEEE Int. Conf.-ASSP, New Mexico, 1990.
  75. G. Glentis and N. Kalouptsidis, 'Fast adaptive algorithms for multichannel LS filtering,' IEEE Int. Conf.-CAS, New Orleans, 1990.
  76. G. Glentis and N. Kalouptsidis, 'Fast adaptive algorithms for multichannel linear phase LS filtering,' EUSIPCO Conf., Barcelona, 1990

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