LIST OF PUBLICATIONS AND PATENTS

Felix Albu

JOURNAL PAPERS

1. L. Alzubaidi, J. Bai, A. Al-Sabaawi, J. Santamaría, A. S. Albahri, B. S. N. Al-dabbagh, M. A. Fadhel, M. Manoufali, J. Zhang, A. H. Al-Timemy, Y. Duan, A. Abdullah, L. Farhan, Y. Lu, A. Gupta, F. Albu, A. Abbosh and Y. Gu, "A Survey on Deep Learning Tools Dealing with Data Scarcity: Definitions, Challenges, Solutions, Tips, and Applications," Journal of Big Data 10, 46, 2023.
2. M. T. Akhtar, F. Albu and A. Nishihara, "Prediction Error Method (PEM)-Based Howling Cancellation in Hearing Aids: Can We Do Better", IEEE Access, Dec. 2022. 
3. P.G. Patil, T.H. Jaware, S.P. Patil, R.D. Badgujar, F. Albu, I. Mahariq, B. Al-Sheikh, C. Nayak, "Marathi Speech Intelligibility Enhancement using I-AMS based Neuro-Fuzzy Classifier Approach for Hearing Aid Users", IEEE Access, vol.10, pp. 123028-123042, 2022.
4. S. Radhika, F. Albu, A. Chandrasekar, "Robust Exponential Hyperbolic Sine Adaptive Filter for Impulsive Noise Environments", IEEE Transactions on Circuits and Systems II: Express Briefs, 2022. 
5. S. Radhika, F. Albu, A. Chandrasekar, "Proportionate Maximum Versoria Criterion based Adaptive Algorithm for Sparse System Identification", IEEE Transactions on Circuits and Systems II: Express Briefs, Oct.  2021.
6. M. T. Akhtar, F. Albu and A. Nishihara, "Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices", Applied Acoustics, 2021. 
7. D. Panigrahy, P.K. Sahu, F. Albu, "Detection of ventricular fibrillation rhythm by using boosted support vector machine with an optimal variable combination", Elsevier, Computers and Electrical Engineering Journal, Vol. 91, May 2021. 
8. S. Radhika, F. Albu, A. Chandrasekar, "Steady State Mean Square Analysis of Standard Maximum Versoria Criterion Based Adaptive Algorithm", IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, Issue 4, pp. 1547-1551, Apr.  2021.
9. R. Pogula, T. Kishore Kumar, F. Albu, "Robust Sparse Normalized LMAT Algorithms for Adaptive System Identification Under Impulsive Noise Environments," Springer, Circuits, Systems and Signal Processing,  Volume: 38,   Issue: 11, :pp. 5103-5134, NOV 2019 
10. M. T. Akhtar, F. Albu and A. Nishihara, “Acoustic feedback cancellation in hearing aids using dual adaptive filtering and gain-controlled probe signal", Elsevier Biomedical Signal Processing and Control, Vol. 52, July 2019, Pages 1-13.
11. 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", MDPI, Applied Sciences, 8, (11), 2313, Nov. 2018, doi: 10.3390/app8112313.
12. 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 
13. 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", Elsevier, Applied Acoustics 2018, vol. 132, pp. 142-151 
14. Y. Li, Y. Wang, F. Albu and J. Jiang, “A General Zero Attraction Proportionate Normalized Maximum Correntropy  Criterion Algorithm for Sparse System Identification", MDPI, Symmetry 2017, 9, 229; doi:10.3390/sym910022
15. Y. Wang, Y. Li, F. Albu and R. Yang, “Group-Constrained Maximum Correntropy Criterion Algorithms for Estimating Sparse Mix-Noised Channel", MDPI, Entropy 2017, 19(8), 432; doi:10.3390/e19080432
16. Y. Li, Y. Wang, R. Yang and F. Albu, “A Soft Parameter Function Penalized Normalized Maximum Correntropy Criterion Algorithm for Sparse System Identification”, MDPI, Entropy 2017, 19(1), 45; doi:10.3390/e19010045
17. 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. 
18. 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
19. 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
20. 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.
21. 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.
22. 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
23. 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
24. 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
25. 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
26. M. Bouchard, F. Albu, "The Gauss-Seidel fast affine projection algorithm for multichannel active noise control and sound reproduction systems", Wiley Int. Journal of Adaptive Control and Signal Processing, vol. 19, nr. 2-3, pp. 107-123, March-April 2005 Citations link
27. J. Kadlec, F. Albu, et all, "Lattice for FPGAs using logarithmic arithmetic", Electronic Engineering Design Journal, pp. 53-56, July 2002
28. 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. L. T.T. Tran, F. Albu, H. Nguyen and S. Nordholm, “Proportionate NLMS with Variable Step-size for Adaptive Feedback Cancellation in Hearing Aids", in Proc. of APSIPA 2023, Taipei, Taiwan, pp. 2359-2364. 
2. F. Albu, M. Ionita, "Efficient Affine Projection Tanh Algorithm for Acoustic Feedback Cancellation",  in Proc. of EUSIPCO 2023 conference, Helsinki, Finland, pp. 86-90.
3. F. Albu, L. Tran; S. Radhika; A. Chandrasekar, "Acoustic Feedback Cancellation using the Variable Step Size Affine Projection Tanh Algorithm",  in Proc. of the 2023 IEEE Statistical Signal Processing Workshop (SSP), Hanoi, Vietnam. 
4. I. Caciula, N. Angelescu, G. M. Ionita, D. Hagiescu, H. G. Coanda, and F. Albu, "Low Cost Sensor-based Gait Monitoring System",  in Proc. of ECAI 2023, pp. 1-4. 
5. R.-A. Dobre, C. Paleologu, J. Benesty, and F. Albu, "On the Decomposition Parameter of the RLS Algorithm Based on the Nearest Kronecker Product",  accepted at Proc. of ECAI 2023 
6. I. D. Ficiu, C.-L. Stanciu, C. Paleologu, and F. Albu, "On the Performance of a Low-Complexity Data-Reuse RLS Algorithm for Stereophonic Acoustic Echo Cancellation",  in Proc. of ICDT, Venice, Italy, April 2022  
7. C.-P. Manoila, A. Ciurea, F. Albu, "smartMRI framework for segmentation of MR images using multiple deep learning methods, " Proc. of EHB 2022 conference, Iasi, Romania, Nov. 2022  
8. F. Albu, H.G. Coanda, D. Coltuc, "Low Complexity Acoustic Feedback Cancellation Algorithm with Frequency Shifting and Dichotomous Coordinate Descent Iterations", Proc. of International Symposium on Electronics and Telecommunications 2022, Timisoara, Romania, Nov. 2022
9. F. Albu, "Set-membership Sparsity-Aware Proportionate Normalized Least Mean Square Algorithms for Active Noise Control", in Proc. of EWDTS 2020, pp. 181-184.
10. W. Shi, Y. Li and F. Albu, "A Norm Penalized Noise-free Maximum Correntropy Criterion Algorithm," in Proc. of APSIPA ASC 2019, Lanzhou, China, pp. 1717-1720.
11. X. Huang, Y. Li and F. Albu, "A Norm Constraint Lorentzian Algorithm Under Alpha-stable Measurement Noise," in Proc. of APSIPA ASC 2019, Lanzhou, China, pp. 1076-1079. 
12. F. Yang, F. Albu, and J. Yang, "An Alternative Solution to the Dynamically Regularized RLS Algorithm," in Proc. of APSIPA ASC 2019, Lanzhou, China, pp. 1072-1075. 
13. 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
14. 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.
15. F. Albu, "The modified Filtered-x Multichannel Wiener filter", in Proc. of ICSP 2018, pp. 158-161.
16. 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.
17. 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. 
18. F. Albu, "The Constrained Stability Least Mean Square Algorithm for Active Noise Control", in Proc. of BLACKSEACOM 2018, Batumi, Georgia.
19. 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.
20. 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)
21. 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
22. 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.
23. K. Nishikawa, F. Albu, “Adaptive Kernel Bandwidth Method for Kernel Normalized LMS Adaptive Algorithm", in Proc. of ICSTCC 2017, Sinaia, Romania, pp. 482-486.
24. 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.
25. 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
26. F. Albu, L. T.T. Tran, S. Nordholm, Two-Microphone Acoustic Feedback Cancellation using NLMS based Algorithms, ECAI 2017
27. F. Albu, K. Nishikawa,  "Low complexity kernel affine projection-type algorithms with a coherence criterion", in Proc. of ICSIGSYS 2017, pp. 87-91.
28. 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.
29. 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.
30. 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.
31. F. Albu, J. Liu, S.L. Grant, "Approximated Proportionate Affine Projection Algorithms for Block Sparse Identification", ECTI-CON 2016, 2016, Chiang Mai, Thailand.
32. 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.
33. F. Albu, J. Liu, S.L. Grant, "A Fast Filtering Block Sparse Proportionate Affine Projection Sign Algorithm", Communications 2016, Bucharest, 9-11 June 2016.
34. F. Albu, "Block-Sparse Fast Recursive Approximated Memory Improved Proportionate Affine Projection Algorithm", AES 140, June 2016, Paris, France.
35. F. Albu, “Low Complexity Image Registration Techniques based on Integral Projections”, in Proc. of IWSSIP 2016, May 2016, Bratislava, Slovak Republic.
36. F. Albu, K. Nishikawa,  "New iterative kernel algorithms for nonlinear acoustic echo cancellation", in Proc. of APSIPA 2015, 2015, pp. 734-739.
37. F. Albu, Linear Prediction based Image Enhancement Method, in Proc. of IEEE ICCE 2015, Berlin, Germany, pp. 496-499.
38. F. Albu, R. Nakagawa, S. Nordholm, "Proportionate Algorithms for Two Microphones Active Feedback Cancellation", in Proc. of EUSIPCO 2015, Nice, France, pp. 290-294.
39. 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.
40. 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
41. F. Albu, "Fast Recursive AMIPAP algorithm", in Proc. of ECAI 2015, June 2015, Vol. 2, AF7-AF10.
42. F. Albu, "The Proportionate APL-I algorithm", in Proc. of IEEE ICTRC 2015, May 2015, pp. 183-186.
43. 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. 
44. F. Albu, A. Gully, Rodrigo C. de Lamare, “Sparsity-aware pseudo affine projection algorithm for active noise control”, in Proc. of IEEE APSIPA 2014, 2014
45. 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.
46. 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).
47. 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
48. 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).
49. F. Albu, D. Hagiescu, & M. Puica, “Quality evaluation approaches of the first grade children’s handwriting”, The 10^th International Scientific Conference eLearning and software for Education, Bucharest, Romania, April 24-25, pp. 17-23, 2014. 
50. 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.
51. 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
52. 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. 
53. K. Nishikawa, Y. Ogawa, F. Albu, "Fixed Order Implementation of Kernel RLS-DCD Adaptive Filters", in Proc. of APSIPA 2013
54. 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.
55. F. Albu, K. Nishikawa, “The Kernel Proportionate NLMS Algorithm”, in Proc. of EUSIPCO 2013 
56. M. Rotaru, S. Ciochina, F. Albu, "”An Efficient GSC VSS-APA Beamformer with Integrated Log-energy Based VAD for Noise Reduction in Speech Reinforcement Systems”", IEEE ISSCS 2013, Iasi, Romania, 2013
57. F. Albu, H.K.Kwan, “New proportionate affine projection sign algorithms”, in Proc. of IEEE ISCAS 2013, Beijing, China, pp. 521 - 524, 2013
58. 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
59. 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
60. F. Albu, “Improved Variable Forgetting Factor Recursive Least Square Algorithm”, in Proc. of IEEE ICARCV 2012, Guangzhou, China, pp. 1789 - 1793, 2012  Matlab code
61. 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
62. 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
63. 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
    
64. 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 
    
65. 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 
66. 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
67. 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
68. F. Albu,  “Simplified proportionate affine projection algorithms”, in Proc. of IEEE IWSSIP 2012, Vienna, Austria, pp. 382-385, 2012.   
69. 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
70. 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
71. 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
72. 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.
73. 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. 
74. 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.
75. 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.
    
76. 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, 2010. Matlab code
77. 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.
78. 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
79. 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
80. 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  
81. 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).
82. 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.
    
83. 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
84. F. Albu, C. Paleologu,The Variable Step-Size Gauss-Seidel Pseudo Affine Projection Algorithm, pp. 642-645, Proc. ICCSE, Dubai, E.A.U,2009. 
85. 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.
86. C. Florea, F. Albu, C. Vertan, A. Drimbarean, Logarithmic Tools for In-camera Image Processing, Proc of 16^th IET Irish Signals and Systems Conference ISSC 2008 Galway, Ireland, pp. 394-399, 2008.
87. 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
88. 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).
89. 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)
90. 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
91. F. Albu, C. Kotropoulos, Cordinate descent iterations in pseudo affine projection algorithm, Proceedings of IEEE ISCAS 2005, Kobe, Japan, May 2005, pp. 2283-2286
92. 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
93. 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
94. 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 
95. 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
96. 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
97. 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
98. 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
99. 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 2002 Citations link
100. 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, 2002. slides
101. 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
102. 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  code Citations link
103. 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
104. 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
105. 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
106. F. Albu, D. Martinez, "Support Vector Classifiers: Application to digital communications channel equalization", UKROBRAZ98, pp. 57-60, Kiev, Ukraine, October 1998
107. 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
108. 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 1998
     
109. 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
110. 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
111. 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
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. 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

 RO 131754, Method and device for learning calligraphic writing, March 30, 2017, approved October 2019

Provisional patents

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

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