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LIST OF PUBLICATIONS AND PATENTS

Felix Albu

 

JOURNAL PAPERS

  1. R. Pogula, T. Kishore Kumar, F. Albu, "Robust Sparse Normalized LMAT Algorithms for Adaptive System Identification Under Impulsive Noise Environments ", Circuits, Systems and Signal Processing, Apr. 2019 
  2. M. T. Akhtar, F. Albu and A. Nishihara, “Acoustic feedback cancellation in hearing aids using dual adaptive filtering and gain-controlled probe signal", Biomedical Signal Processing and Control, Vol. 52, July 2019, Pages 1-13.
  3. F. Yang, Y. Cao, M. Wu, F. Albu and J. Yang, “Frequency-Domain Filtered-x LMS Algorithms for Active Noise Control: A Review and New Insights", Applied Sciences, 8, (11), 2313, Nov. 2018, doi: 10.3390/app8112313.
  4. R. Pogula, T. Kishore Kumar, F. Albu, "Novel Sparse Algorithms based on Lyapunov Stability for Adaptive System Identification", Radioengineering, vol. 27(1), pp. 270-280, Apr. 2018 
  5. S. Pradham, N.V. George, F. Albu and S. Nordholm “Two microphone acoustic feedback cancellation in digital hearing aids: A step size controlled frequency domain approach", Applied Acoustics 2018, vol. 132, pp. 142-151 
  6. Y. Li, Y. Wang, F. Albu and J. Jiang, “A General Zero Attraction Proportionate Normalized Maximum Correntropy  Criterion Algorithm for Sparse System Identification", Symmetry 2017, 9, 229; doi:10.3390/sym910022
  7. Y. Wang, Y. Li, F. Albu and R. Yang, “Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channel", Entropy 2017, 19(8), 432; doi:10.3390/e19080432
  8. Y. Li, Y. Wang, R. Yang and F. Albu, “A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification”, Entropy 2017, 19(1), 45; doi:10.3390/e19010045
  9. A. Gonzales, F. Albu, M. Ferrer, M. de Diego, "Evolutionary and variable step size strategies for multichannel filtered-x affine projection algorithms," IET Signal Processing, vol. 7, Issue 6, August 2013, pp. 471-476. 
  10. F. Albu and H. K. Kwan, "Memory improved proportionate affine projection sign algorithm," IET Electronics Letters, volume 48, pp. 1279-1281, 2012 Matlab code for MIP-APSA
  11. F. Albu, C. Paleologu, “The Variable Step-Size Gauss-Seidel Pseudo Affine Projection Algorithm”, International Journal of Computer Science, Vol. 5, No. 1, January 2010, pp. 1-4 Citations link
  12. F. Albu, C. Paleologu, and Y. Zakharov, "The recursive affine projection algorithm for active noise control", Revue Roumaine des Sciences Technique, Editura Academiei Romane, vol. 55, no. 4, pp: 416-425, 2010.
  13. C. Paleologu, F. Albu, A. A. Enescu, S. Ciochina, "Modified SRF-QRD-LSL Adaptive Aligorithm with Improved Numerical Robustness", International Journal On Advances in Systems and Measurements, vol. 2, no. 1, pp. 56-65, 2009.
  14. F. Albu, M. Bouchard, Y. Zakharov, " Pseudo affine projection algorithms for multichannel active noise control", IEEE Transaction on Audio, Speech and Language Processing, Vol. 15, Issue 3, March 2007, pp. 1044-1052.Citations link
  15. F. Albu, "An Efficient Multichannel Filtered-X Affine Projection Algorithm", IEE Electronics Letters, Volume 42, Issue 7, 30 March 2006 Page(s):59 60, 2006.  Citations link
  16. Y.Zakharov and F. Albu, "Coordinate descent iterations in fast affine projection algorithm" , IEEE Signal Processing Letters, Vol. 12, Issue 5, May 2005, pp: 353-356    Citations link
  17. F. Albu, H.K. Kwan, "Fast block exact Gauss-Seidel pseudo affine projection algorithm", IEE Electronics Letters, Oct. 2004, pp. 1451-1453, Vol. 40, Issue:22  Citations link
  18. M. Bouchard, F. Albu, "The Gauss-Seidel fast affine projection algorithm for multichannel active noise control and sound reproduction systems", Special Issue on Adaptive Control of Sound and Vibration, Int. Journal of Adaptive Control and Signal Processing, vol. 19, nr. 2-3, pp. 107-123, March-April 2005 Citations link
  19. J. Kadlec, F. Albu, et all, "Lattice for FPGAs using logarithmic arithmetic", Electronic Engineering Design Journal, pp. 53-56, July 2002
  20. F. Albu, "Support Vector Machines for Channel Equalization in Hostile Environments", Revue Roumaine des Sciences Technique, Editura Academiei Romane no. 2, 1999, pp. 239-247

 

CONFERENCE PAPERS

 

  1. R. Pogula, T. Kishore Kumar, F. Albu, "Modified Least-Mean Mixed-Norm Algorithms for Impulsive Noise Environment in Adaptive Sparse System Identification," in Proc. of IEEE TSP 2019, Budapest, Hungary, pp.557-561 Matlab code
  2. A. Bobeica, I.C. Dragoi, I. Caciula, D. Coltuc, F. Albu, F. Yang, "Capacity Control for Prediction Error Expansion Based Audio Reversible Data Hiding", in Proc. of ICSTCC 2018, Sinaia, Romania, pp. 810-816.
  3. F. Albu, "The modified Filtered-x Multichannel Wiener filter", in Proc. of ICSP 2018, pp. 158-161.
  4. F. Albu, S. Nordholm and L. T.T. Tran, "The Hybrid Simplified Kalman Filter for Adaptive Feedback Cancellation" in Proc. of COMM 2018, Bucharest Romania, pp. 45-50.
  5. R. Pogula, T. Kishore Kumar, F. Albu, "Complex Domain Adaptive System Identification Using Sparse Affine Projection Normalized Correlation Algorithms Under Impulsive Noises," in Proc. of COMM 2018, Bucharest, Romania, pp. 61-66. 
  6. F. Albu, "The Constrained Stability Least Mean Square Algorithm for Active Noise Control", in Proc. of BLACKSEACOM 2018, Batumi, Georgia.
  7. F. Albu, “An Efficient Combined Active Noise Control and Noise Reduction Method for Hearing Aids", in Proc. of EURONOISE 2017, Hersonissos, Greece, pp. 915-919.
  8. F. Albu, M. Puica, F. Pirvan, D. Hagiescu, "A Sonification Method using Human Body Movements", in Proc. of CONTENT 2018, Barcelona, Spain, pp. 36-40, February 2018. (Best paper award)
  9. F. Albu, L. T.T. Tran, S. Nordholm, A Combined Variable Step Size Strategy for Two Microphones Acoustic Feedback Cancellation using Proportionate Algorithms, APSIPA 2017
  10. F. Albu, Y. Li, Y. Wang, “The lp-norm Proportionate Normalized Least Mean Square Algorithm for Active Noise Control", in Proc. of ICSTCC 2017, Sinaia, Romania, pp. 401-405.
  11. K. Nishikawa, F. Albu, Adaptive Kernel Bandwidth Method for Kernel Normalized LMS Adaptive Algorithm", in Proc. of ICSTCC 2017, Sinaia, Romania, pp. 482-486.
  12. Y. Wang, Y. Li, F. Albu, R. Yang, “Convergence Analysis of a Correntropy Induced Metric Constrained Mixture Error Criterion Algorithm", in Proc. of IEEE WCSP 2017, Nanjing, China.
  13. F. Albu, Y. Li, Y. Wang, “Low-Complexity Non-Uniform Penalized Affine Projection Algorithms for Active Noise Control ", in Proc. of Eusipco 2017, Kos, Greece, pp. 1315-1319
  14. F. Albu, L. T.T. Tran, S. Nordholm, Two-Microphone Acoustic Feedback Cancellation using NLMS based Algorithms, ECAI 2017
  15. F. Albu, K. Nishikawa,  "Low complexity kernel affine projection-type algorithms with a coherence criterion", in Proc. of ICSIGSYS 2017, pp. 87-91.
  16. Y. Wang, Y. Li, F. Albu, R. Yang, “Sparse Channel Estimation Using Correntropy Induced Metric Criterion Based SM-NLMS Algorithm", IEEE WCNC 2017, San Francisco, U.S.A.
  17. F. Albu,  P. S. R. Diniz, “Improved Set-Membership Partial-Update Pseudo Affine Projection Algorithm”, in Proc. of ICCACI 2016, Jaipur, India, pp. 498-501.
  18. Y. Li, Y. Wang, F. Albu, “Sparse Channel Estimation Based on a Reweighted Least-Mean Mixed-Norm Adaptive Filter Algorithm", in Proc. of Eusipco 2016, Budapest, Hungary, pp. 2380-2384.
  19. F. Albu, J. Liu, S.L. Grant, "Approximated Proportionate Affine Projection Algorithms for Block Sparse Identification", ECTI-CON 2016, 2016, Chiang Mai, Thailand.
  20. N. Angelescu, H. G. Coanda, I. Caciula, C. Dragoi and F. Albu, "SQL Query Optimization in Content Based Image Retrieval Systems", in Proc. of Communications 2016, Bucharest, 9-11 June 2016.
  21. F. Albu, J. Liu, S.L. Grant, "A Fast Filtering Block Sparse Proportionate Affine Projection Sign Algorithm", Communications 2016, Bucharest, 9-11 June 2016.
  22. F. Albu, "Block-Sparse Fast Recursive Approximated Memory Improved Proportionate Affine Projection Algorithm", AES 140, June 2016, Paris, France.
  23. F. Albu, Low Complexity Image Registration Techniques based on Integral Projections”, in Proc. of IWSSIP 2016, May 2016, Bratislava, Slovak Republic.
  24. F. Albu, K. Nishikawa,  "New iterative kernel algorithms for nonlinear acoustic echo cancellation", in Proc. of APSIPA 2015, 2015, pp. 734-739.
  25. F. Albu, Linear Prediction based Image Enhancement Method, in Proc. of IEEE ICCE 2015Berlin, Germany, pp. 496-499.
  26. F. Albu, R. Nakagawa, S. Nordholm, "Proportionate Algorithms for Two Microphones Active Feedback Cancellation", in Proc. of EUSIPCO 2015, Nice, France, pp. 290-294.
  27. K. Nishikawa, F. Albu, "Implementation method of Kernel Adaptive Filter as an Add-on for a Linear Adaptive Filter", in Proc. of EUSIPCO 2015, Nice, France, pp. 2736-2740.
  28. F. Albu, D. Hagiescu, L. Vladutu, M. Puica, "Neural network approaches for children's emotion recognition in intelligent learning applications", in Proc. of EDULEARN 2015, pp. 3229-3239, 2015
  29. F. Albu, "Fast Recursive AMIPAP algorithm", in Proc. of ECAI 2015, June 2015, Vol. 2, AF7-AF10.
  30. F. Albu, "The Proportionate APL-I algorithm", in Proc. of IEEE ICTRC 2015, May 2015pp. 183-186.
  31. F. Albu, D. Hagiescu, M. Puica, L. Vladutu, "Intelligent tutor for first grade children’s handwriting application", 9th International Technology, Education and Development Conference, Madrid, Spain, March 2015, pp. 3708 – 3717. 
  32. F. Albu, A. Gully, Rodrigo C. de Lamare, “Sparsity-aware pseudo affine projection algorithm for active noise control”, in Proc. of IEEE APSIPA 20142014
  33. K. Nishikawa, F. Albu, “Consideration on the Performance of Kernel Adaptive Filters for the Mixture of Linear and Non-Linear Environments”, in Proc. of IEEE APSIPA 2014, 2014.
  34. F. Albu, K. Nishikawa, “A fixed budget implementation of a new variable step size kernel proportionate NLMS algorithm”, in Proc. of IEEE ICCAS 2014 conference, Seoul, South Korea, October 2014, pp. 890-894 (Best presentation award).
  35. F. Albu, P. Corcoran, “Transformed Integral Projection Method for Global Alignment of Second Order Radially Distorted Images”, in Proc. of IEEE SPA 2014 conference, Poznan, Poland, September 2014, pp. 42-47. Picture
  36. F. Albu, H. Coanda, “A Fast Filtering Proportionate Affine Projection Sign Algorithm”, in Proc. of IEEE SPA 2014 conference, Poznan, Poland, September 2014, pp. 25-30 (Best paper award).
  37. F. Albu, D. Hagiescu, & M. Puica, “Quality evaluation approaches of the first grade children’s handwriting”, The 10th International Scientific Conference eLearning and software for Education, Bucharest, Romania, April 24-25, pp. 17-23, 2014
  38. F. Albu, H. Coanda, D. Coltuc, & M. Rotaru, “Intermittently Updated Simplified Proportionate Affine Projection Algorithm”, in Proc. of ADAPTIVE 2014, pp. 42-47, Valencia, Spain, 2014.
  39. C. R. C. Nakagawa, S. Nordholm, F. Albu, W.-Y. Yan, "Closed-loop feedback cancellation utilizing two microphones and transform domain processing", in Proc. of ICASSP 2014, pp. 3673-3677, Florence, Italy, 2014
  40. Y. Maru, K. NISHIKAWA, and F. Albu, “Improvement of Convergence Characteristic of KPNLMS Algorithm by Using Multi Kernel Learning ,” Society Conference of IEICE, no.A-4-25, September 2013
  41. K. Nishikawa, Y. Ogawa, F. Albu, "Fixed Order Implementation of Kernel RLS-DCD Adaptive Filters", in Proc. of APSIPA 2013
  42. F. Albu, D. Coltuc, K. Nishikawa, M. Rotaru,  “An efficient implementation of the kernel affine projection algorithm”, in Proc. of IEEE ISPA 2013, Trieste, Italy, pp. 342-346 2013.
  43. F. Albu, K. Nishikawa, “The Kernel Proportionate NLMS Algorithm”, in Proc. of EUSIPCO 2013 
  44. M. Rotaru, S. Ciochina, F. Albu, "A FPGA Implementation of Prediction Error Method for Active Feedback Cancellation using Xilinx System Generator", IEEE ISSCS 2013, Iasi, Romania, 2013
  45. F. Albu, H.K.Kwan, “New proportionate affine projection sign algorithms”, in Proc. of IEEE ISCAS 2013, Beijing, China, pp. 521 - 524, 2013
  46. M. Rotaru, C. Stanciu, S. Ciochina, F. Albu, H. Coanda, “A FPGA Implementation of Prediction Error Method for Active Feedback Cancellation using Xilinx System Generator”, in Proc. of ADAPTIVE 2013, Valencia, Spain, pp. 26 - 29, 2013
  47. F. Albu, M. Rotaru, R. Arablouei, and K. Dogancay, ”Intermittently-updated affine projection algorithm”, in Proc. of IEEE ICASSP 2013, Vancouver, Canada, pp. 585 - 589, 2013
  48. F. Albu, “Improved Variable Forgetting Factor Recursive Least Square Algorithm”, in Proc. of IEEE ICARCV 2012, Guangzhou, China, pp. 1789 - 1793, 2012  Matlab code
  49. F. Albu, “Leading Element Dichotomous Coordinate Descent Exponential Recursive Least Squares Algorithm for Multichannel Active Noise Control”, in Proc. of AAS Acoustics 2012, Fremantle, Australia, pp. 1-4, 2012
  50. F. Albu, D. Coltuc, D. Comminiello, M. Scarpiniti,  “The variable step size regularized block exact affine projection algorithm”, ” in Proc. of IEEE ISETC  2012, Timisoara, Romania, 15-16 November 2012, pp.  283-286, 2012
  51. M. Rotaru, F. Albu, H. Coanda, “A Variable Step Size Modified Decorrelated NLMS Algorithm for Adaptive Feedback Cancellation in Hearing Aids, ” in Proc. of IEEE ISETC  2012, Timisoara, Romania, 15-16 November 2012, pp.  263-266, 2012 Matlab code
  52. A. Gonzalez, M. Ferrer, F. Albu, and M. de Diego, “Affine projection algorithms: evolution to smart and fast multichannel algorithms and applications”, in Proc. of EUSIPCO 2012, Bucharest, Romania, pp. 1965-1969, 2012 
  53. C. Stanciu, C. Paleologu, J. Benesty, T. Gänsler, S. Ciochina, and F. Albu, “Variable-Forgetting Factor RLS Algorithm for Stereophonic Acoustic Echo Cancellation with the Widely Linear Model”, in Proc. of EUSIPCO 2012, Bucharest, Romania, pp. 1960-1964, 2012 
  54. F. Albu,  “New proportionate affine projection algorithm”, in INTER-NOISE and NOISE-CON Congress and Conference Proceedings, vol. 2012, no. 11, pp. 417-424. Institute of Noise Control Engineering, 2012, New York, U.S.A., 2012
  55. F. Albu, C. Paleologu, S. Ciochina, “New variable step size affine projection algorithms", in Proc. of IEEE COMM 2012, Bucharest, Romania, pp. 63-66, 2012
  56. F. Albu,  “Simplified proportionate affine projection algorithms”, in Proc. of IEEE IWSSIP 2012, Vienna, Austria, pp. 382-385, 2012.   
  57. C. Paleologu, J. Benesty, F. Albu, “Regularization of the improved proportionate affine projection algorithms”, in Proc. of IEEE ICASSP 2012, Kyoto, Japan, pp. 169-172, 2012
  58. C. Stanciu, C. Anghel, C. Paleologu, J. Benesty,  F. Albu, S. Ciochina, “FPGA Implementation of an Efficient Proportionate Affine Projection Algorithm for Echo Cancellation”, in Proc. Eusipco 2011, Barcelona, Spain, pp. 1284-1288, 2011
  59. F. Albu, “A proportionate affine projection algorithm using fast recursive filtering and dichotomous coordinate descent iterations”, in Proc. of EURASIP SPAMEC 2011, Cluj Napoca, Romania, pp. 93-96, 2011
  60. C. Stanciu, C. Anghel, C. Paleologu, J. Benesty,  F. Albu, S. Ciochina, “A Proportionate Affine Projection Algorithm Using Dichotomous Coordinate Descent Iterations”, in Proc. IEEE ISSCS 2011, Iasi, Romania, pp. 1-4, 2011.
  61. F. Albu, C. Paleologu, J. Benesty, “A variable step size evolutionary affine projection algorithm,” in Proc. IEEE ICASSP, 2011,  Prague, Czech Republic, May 2011, pp. 429-432. 
  62. C. Paleologu, J. Benesty, F. Albu, and S. Ciochina, “An efficient variable step-size proportionate affine projection algorithm,” in Proc. IEEE ICASSP, 2011, Prague, Czech Republic, pp. 77-80, 2011.
  63. F. Albu, C. Paleologu, J. Benesty, Efficient Implementation of a Variable Projection Order Affine Projection Algorithm, IEEE International Symposium on Wireless Communication Systems (ISWCS), York, U.K., Sept. 2010, pp. 369-373, 2010. Matlab code
  64. F. Albu, C. Paleologu, J. Benesty, and S. Ciochina, A low complexity proportionate affine projection algorithm for echo cancellation, in Proc. EUSIPCO, Aalborg, Denmark, August 2010, pp. 6-10, 2010Matlab code
  65. F. Albu, C. Florea, A. Drimbarean, A. Zamfir, Adaptive Recovery of Motion Blur Point Spread Function from Differently Exposed Images, Proc. of Electronic Imaging 2010, January 2010, San Jose, U.S.A, Paper 7537-25, 2010.
  66. F. Albu, C. Paleologu, “New filtered-x recursive least square algorithms for active noise control”, in Proc. of INTERNOISE 2010, Lisbon, June 2010, pp. 23-30
  67. F. Albu, C. Florea, C. Vertan, A. Drimbarean, One scan shadow compensation and visual enhancement of color images, Proc of IEEE ICIP 2009, November 2009, Cairo, Egypt, pp. 3133-3136
  68. F. Albu, C. Paleologu, J. Benesty,  Gauss-Seidel based Variable Step-Size Affine Projection Algorithms for Acoustic Echo Cancellation ,Proc. European Signal Processing Conference (EUSIPCO), pp. 2007-2011, Glasgow, Scotland, 2009  
  69. C. Paleologu, A. A. Enescu, S. Ciochina, F. Albu, QRD-LSL Adaptive Algorithms Suitable for Fixed-Point Implementation, Proc.IEEE Advanced International Conference on Telecommunications (AICT), pp. 163-167, Venice, Italia, 2009 (Best paper award).
  70. F. Albu, C. Paleologu,J. Benesty, Y. V. Zakharov,Variable Step Size Dichotomous Coordinate Descent Affine Projection Algorithm,Proc. IEEE EUROCON, pp. 1366-1371, St. Petersburg, Rusia, 2009. Matlab code
  71. F. Albu, Y. V. Zakharov,C. Paleologu,Modified Filtered-X Dichotomous Coordinate Descent Recursive Affine Projection Algorithm,Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), pp. 257-260, Taipei, Taiwan, 2009. Citations link
  72. F. Albu, C. Paleologu,The Variable Step-Size Gauss-Seidel Pseudo Affine Projection Algorithm, pp. 642-645, Proc. ICCSE, Dubai, E.A.U,2009
  73. F. Albu, C. Paleologu,New multichannel modified filtered-x algorithms for active noise control using the dichotomous coordinate descent method, Proc. Acoustics, pp. 5721-5725, Paris, France, 2008.
  74. C. Florea, F. Albu, C. Vertan, A. Drimbarean, Logarithmic Tools for In-camera Image Processing, Proc of 16th IET Irish Signals and Systems Conference ISSC 2008 Galway, Ireland, pp. 394-399, 2008.
  75. F. Albu, C. Paleologu,A Recursive Least Square Algorithm for Active NoiseControl based on the Gauss-Seidel Method, Proc. IEEE Int. Conf. on Electronics, Circuits, and Systems (ICECS), pp. 830-833, Malta, 2008. Citations link
  76. C. Paleologu, F. Albu, A. A. Enescu,S. Ciochina, Square-Root-Free QRD-LSL Adaptive Algorithm with Improved numerical Robustness, Proc. IEEE Int. Conf. on Networking (ICN), pp. 572-577, Cancun, Mexic, Apr. 2008 (Best paper award).
  77. F. Albu, C. Florea , A. Zamfir, A. Drimbarean, "Low Complexity Global Motion Estimation Techniques for Image Stabilization", International Conference on Consumer Electronics, ICCE 2008, Las Vegas, USA, January 2008, pp. 465-467, ISBN 1-4244-1459-8 (presentation)
  78. F. Albu, C. Kotropoulos, Z. Cernekova, I. Pitas, New Affine Projection Algorithms Based on Gauss-Seidel Method, Proceedings of IEEE ISSCS 2005, Iasi, Romania, July 2005, pp. 565-568
  79. F. Albu, C. Kotropoulos, Cordinate descent iterations in pseudo affine projection algorithm, Proceedings of IEEE ISCAS 2005, Kobe, Japan, May 2005, pp. 2283-2286
  80. F. Albu, H.K. Kwan, A new block exact affine projection algorithm, Proceedings of IEEE ISCAS 2005, Kobe, Japan, May 2005, pp. 4337-4340  Citations link
  81. F. Albu, C. Kotropoulos, Modified Gauss-Seidel affine projection algorithm for acoustic echo cancellation, Proceedings of IEEE ICASSP 2005, Philadelphia, U.S.A, April 2005, pp. 121-124  Citations link
  82. F. Albu, The use of the Gauss-Sidel Fast Affine Projection and NLMS Algorithms for Oversampled Subband Acoustic Echo Filters, Proceedings of International Conference "Communications 2004", June 03-05, 2004, Bucharest, Romania, pp.91-94 
  83. F. Albu, M. Bouchard, A low-cost and fast convergence Gauss-Seidel pseudo affine projection algorithm for multichanel active noise control, Proceedings of IEEE ICASSP 2004, Montreal,vol. IV, pp. 121-124, May 2004 Citations link
  84. F. Albu, H.K. Kwan, Combined echo and noise cancellation based on Gauss-Seidel pseudo affine projection algorithm, Proceedings of the 2004 International Symposium on Circuits and Systems, IEEE ISCAS '04, Vol. 3,  23-26 May 2004, pp. 505-508  Citations link
  85. F. Albu, A. Fagan, The Gauss-Seidel pseudo affine projection algorithm and its application for echo cancellation, Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, 2003, Vol. 2,  9-12 Nov. 2003, pp. 1303-1306  Citations link
  86. M. Bouchard, F. Albu, The Multichannel Gauss-Seidel Fast Affine Projection Algorithm for Active Noise Control, Seventh International Symposium on Signal Processing and its Applications, IEEE ISSPA 2003, Paris, France, vol. 2, pp. 579-582, July 2003 Citations link
  87. F. Albu, J. Kadlec, N. Coleman, A. Fagan, "The Gauss-Seidel Fast Affine Projection Algorithm", IEEE Workshop SIPS 2002, pp. 109-114, San Diego, U.S.A, October 2002Citations link
  88. F. Albu, C. Paleologu, S. Ciochina, Analysis of LNS Implementation of QRD-LSL Algorithms, Proc. IEEE International Symposium CSNDSP, pp. 364-367, Stafford, U.K., Iulie 15-17, 2002slides
  89. F. Albu, J. Kadlec, A. Fagan, A. Hermanek, N. Coleman, Analysis of the LNS Implementation of the Fast Affine Projection algorithms, Proceedings of ISSC 2002, pp. 251-255, June 2002, Cork, Ireland slides
  90. F. Albu, J. Kadlec, N. Coleman, A. Fagan, Pipelined Implementations of the A Priori Error-Feedback LSL Algorithm Using Logarithmic Number System, Proceedings of IEEE ICASSP 2002, pp. 2681-2684, Orlando, Florida, U.S.A, May 2002  codeCitations link
  91. F. Albu, A. Fagan, "Fast Affine Projection Algorithm using the Successive Over-Relaxation Method", Proceedings of the Benelux IT conference, Louvain-La-Neuve, Belgium, pp. 147-154, May 2002slides
  92. F. Albu, D. Martinez, "The application of support vector machines with gaussian kernels for overcoming co-channel interference", Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Workshop, pp. 49-57, Madison, Wisconsin, U.S.A, August 1999. Citations link
  93. F. Albu, D. Martinez, "The application of support vector machines to the reconstruction of binary signals", Proceedings of International Symposium on Communications98, pp. 387-392, Bucharest, November 1998
  94. F. Albu, D. Martinez, "Support Vector Classifiers: Application to digital communications channel equalization", UKROBRAZ98, pp. 57-60, Kiev, Ukraine, October 1998
  95. F. Albu, N. Dumitriu, A. Popescu, An enhanced clustering algorithm for Gaussian RBF networks, Proceedings of International Symposium on Electronics and Telecommunications, pp. 216-219, Timisoara, Romania, September 1998slides
  96. F. Albu, A. Mateescu, C. Hera, The effect of delay order on a RBF equalizer", Proceedings of International Symposium on Electronics and Telecommunications, pp. 203-206, Timisoara, Romania, September 1998slides
  97. F. Albu, A. Mateescu, J. C. M. Mota, B. Dorizzi, "Adaptive channel equalization using neural networks", ITS'98, pp. 438-441, August 1998, Sao Paolo, Brazil. Citations link
  98. F. Albu, C. Hera, A. Mateescu, The application of neural networks to adaptive channel equalization", A XXVII-a sesiune de comunicari stiintifice a Academiei Tehnice Militare, pp. 103-110, Bucharest, Romania, November 1997
  99. C. Hera, A. Popescu, F. Albu, Algoritm eficient pentru egalizarea canalelor de telecomunicatii", A XXVII-a sesiune de comunicari stiintifice a Academiei Tehnice Militare, pp. 187-194, Bucharest, Romania, November 1997
  100. F. Albu, B. Dorizzi, J.C.M. Mota, "Variable selection method using statistical sensitivity analysis for radial basis function networks: Application to adaptive channel equalization", International Symposium on Signal, Circuits & Systems, Iasi, Romania, pp. 449-452, October 1997
  101. F. Albu, A. Mateescu, N. Dumitriu, "Architecture Selection for a Multilayer Feedforward Network", International Conference on Microelectronics and Computer Science, Chishinau, Republic of Moldavia, pp. 131-134, October 1997
  102. B. Dorizzi, J.C.M. Mota, F. Albu, "A step towards Equalization for Radio-mobile Channels: Neural Networks and Variable Selection", Workshop on "Emerging Techniques for Communication Terminals, Toulouse, France, COST 254, July 1997
  103. F. Albu, N. Dumitriu, L.D.Stanciu, "Application of SVD in Speech Enhancement", Proceedings of International Symposium on Communications'96, Bucharest, Romania, pp. 526-531, November 1996
  104. F. Albu, A. Mateescu, "Application of Multilayer Feedforward Network to the Voiced-Unvoiced-Silence Detection Problem", Proceedings of International Symposium on Communications'96, Bucharest, Romania, pp. 532-537, November 1996
  105. F. Albu, N. Dumitriu, L.D.Stanciu, "Speech Enhancement by Spectral Subtraction", Proceedings of International Symposium on Electronics and Telecommunications, pp. 78-83, September 1996
  106. L. D.Stanciu, N. Dumitriu, F. Albu, "On eigen-approach for designing digital FIR all-pass phase equalizers", Proceedings of International Symposium on Electronics and Telecommunications, pp. 54-59, Timisoara, Romania, September 1996

 

GRANTED PATENTS

  

US 7,773,118 (Aug. 10, 2010); US 8,212,882 (July 3, 2012); abstract

US  7,995,855, Aug. 9, 2011; abstract

US  8,155,468, Apr. 10, 2012; abstract

US 8,199,222, June 12, 2012; abstract

US 8,204,330 (June 19, 2012); US 8,208,746, (June 26, 2012), US 8,351,726 (January 8, 2013); abstract

EP2160715, Jan 12, 2011; US 8,417055 (April 9, 2013); abstract

US 8,493,459;  Registration of distorted images, July 23, 2013

US 8,493,460; Registration of differently scaled images, July 23, 2013 

US 8,508,652; Autofocus method, August 13, 2013 

US 8,587,665; Fast rotation estimation of objects in sequences of acquired digital images, November 19, 2013

US 8,649,627, and US 8,649,628, February 11, 2014

US 8,698,924; Tone mapping for low-light video frame enhancement, April 15, 2014

US 8,705,894; Image rotation from local motion estimates, April 22, 2014

US 8,737,766; Image processing method and apparatus, May 27,2014

US 8,989,516; Image processing method and apparatus, March 24, 2015

US 9,160,897, Fast motion estimation method, October 13, 2015

EP 2149108, Feb 25, 2015

 

Provisional patents

RO 131754, Method and device for learning calligraphic writing, March 30, 2017

RO 133105, Device and method for maintaining physical health and stimulating creativity, September 7, 2018

 

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R. Pogula, T. Kishore Kumar, F. Albu, "Modified Least-Mean Mixed-Norm Algorithms for Impulsive Noise Environment in Adaptive Sparse System Identification," in Proc. of IEEE TSP 2019, Budapest, Hungary