Signal Processing Laboratory - LPS

Escola Politécnica
                      da USP   Adaptive Filtering and Estimation Group
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Publications

  See Note on IEEE copyrights about the links to papers.

Journals

  1. Nascimento, V.H.; Zakharov, Y.: RLS adaptive filter with inequality constraints, IEEE Signal Processing Letters, vol. 23, n. 5, pp. 752-756, May 2016.
  2. Arenas-García, J.; Azpicueta-Ruiz, L.A., Silva, M.T.M.; Nascimento, V.H.; Sayed, A.H.: Combinations of adaptive filters: performance and convergence properties, IEEE Signal Processing Magazine, vol. 33, n. 1, pp. 120-140, Jan. 2016.
  3. Lamb, D.; Chamon, L.F.O.; Nascimento, V.H.: Efficient filtering structure for spline interpolation and decimation, Electronics Letters, vol. 52, n. 1, pp. 39-41, Jan. 2016.
  4. Almeida Neto, F.G.; de Lamare, R.C.; Nascimento, V.H.; Zakharov, Y.V.: Adaptive reweighting homotopy algorithms applied to beamforming, IEEE Trans. on Aerospace and Electronic Systems, vol. 51, n. 3, pp. 1902-1915, Jul. 2015.
  5. Zakharov, Y.; Nascimento, V.H.: Sliding-window RLS low-cost implementation of proportionate affine projection algorithms, IEEE/ACM Trans. on Audio, Speech, and Language Processing, vol. 22, n. 12, pp. 1815-1824, Dec. 2014.
  6. Lu, S.; Nascimento, V.H.; Sun, J.; Wang, Z.: Sparsity-aware adaptive link combination approach over distributed networks, Electronics Letters, vol. 50, n. 18, pp. 1285-1287, Aug. 2014.
  7. Lima, M.A.A.; Coury, D.V.; Cerqueira, A.S.; Nascimento, V.H.: A method based on independent component analysis for adaptive decomposition of multiple power quality disturbances, Journal of Control, Automation and Electrical Systems, vol. 25, n. 1, pp. 80-92, Jan. 2014.
  8. Zakharov, Y.; Nascimento, V.: DCD-RLS adaptive filters with penalties for sparse identification, IEEE Trans. on Signal Processing, vol. 61, n. 12, pp. 3198-3213, Jun. 2013.
  9. Zheng, Y.R.; Nascimento, V.H.: Two variable step-size adaptive algorithms for non-Gaussian interference environment using fractionally lower-order moment minimization, Digital Signal Processing, vol. 23, n. 3, pp. 831-844, May 2013.
  10. Zakharov, Y.V.; Nascimento, V.H.: Orthogonal matching pursuit with DCD iterations, Electronics Letters, vol. 49, n. 4, pp. 295-297, feb. 2013.
  11. Ribeiro, F.P.; Nascimento, V.H.: Fast Transforms for Acoustic Imaging— Part I: Theory, IEEE Transactions on Image Processing, vol.20, no.8, pp.2229-2240, Aug. 2011.
  12. Ribeiro, F.P.; Nascimento, V.H.: Fast Transforms for Acoustic Imaging— Part II: Applications, IEEE Transactions on Image Processing, vol.20, no.8, pp. 2241-2247, Aug. 2011.
  13. Tsakiris, M.C.; Lopes, C.G.; Nascimento, V.H.: An Array Recursive Least-Squares Algorithm With Generic Nonfading Regularization Matrix, IEEE Signal Processing Letters, vol.17, no.12, pp.1001-1004, Dec. 2010.
  14. R. Candido, M.T.M. Silva e V.H. Nascimento:  Transient and steady-state analysis of the affine combination of two adaptive filters.  IEEE Transactions on Signal Processing, vol. 58, n. 8, pp. 4064-4078, Aug. 2010.
  15. M.D. Miranda, M.T.M. Silva and V.H. Nascimento: Avoiding divergence in the Shalvi-Weinstein AlgorithmIEEE Transactions on Signal Processing, 2008.
  16. V.H. Nascimento and M.T.M. Silva: Stochastic Stability Analysis for the Constant-Modulus Algorithm.   IEEE Transactions on Signal Processing, 2008.
  17. M.A. Garcia, V.H. Nascimento, J.C.T.B. Moraes: Improvement of gas exchange measurements in ergospirometry with the use of optimal filters for O2 and CO2 transducers. Revista Brasileira de Engenharia Biomédica, vol. 23, n. 3, pp. 263-275, Dec. 2007.
  18. M.T.M. Silva e V.H. Nascimento: Improving the tracking capability of adaptive filters via convex combination. IEEE Transactions on Signal Processing, vol. 56, n. 7 (part 2), pp. 3137 - 3149, julho de 2008.
  19. J.C.M. Bermudez, P.I. Hübscher, V.H. Nascimento: A mean-square stability analysis of the least mean fourth (LMF) adaptive algorithm. IEEE Transactions on Signal Processing, vol. 55, n. 8, pp. 4018--4028, Aug. 2007.

  20. V.H. Nascimento and J.C.M. Bermudez: Probability of Divergence for the Least-Mean Fourth (LMF) AlgorithmIEEE Transactions on Signal Processing, vol. 54, n. 4, pp. 1376--1385, Apr. 2006.

  21. V.H. Nascimento: Analysis of the hierarchical LMS algorithm. IEEE Signal Processing Letters, vol. 10, n. 3, pp. 78--81, Mar. 2003.

  22. A.H. Sayed, V.H. Nascimento, and F.A.M. Cipparrone: A regularized robust design criterion for uncertain data . SIAM Journal on Matrix Analysis and Applications, vol. 23, no 4, pp. 1120--1142, 2002.

  23. V.H. Nascimento and A.H. Sayed: On the learning mechanism of adaptive filters . IEEE Transactions on Signal Processing, vol. 48, no 6, pp. 1609-1625, Jun. 2000. 

  24. V.H. Nascimento and A.H. Sayed.: Unbiased leakage-based adaptive filters . IEEE Transactions on Signal Processing, vol. 47, no 12, pp. 3261--3276, Dec. 1999. 

  25. A.H. Sayed, V.H. Nascimento and S. Chandrasekaran: Estimation and control with bounded data uncertainties. Linear Algebra and its Applications, v. 284, no 3, pp. 259--306, 1998.


Book

  • R.F. Coelho; V.H. Nascimento; R.L. de Queiroz; J.M.T. Romano; C.C. Cavalcante (eds): Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing, CRC Press, 2015.

Book Chapters

  1. V.H. Nascimento, B.S. Masiero, F.P. Ribeiro: Acoustic imaging using the Kronecker array transformSignals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing. R.F. Coelho, V.H. Nascimento, R.L. de Queiroz, J.M.T. Romano, C.C. Cavalcante, eds. CRC Press, 2015.
  2. V.H. Nascimento, M.T.M. Silva: Adaptive FiltersAcademic Press Library in Signal Processing.  Vol. 1, Signal Processing Theory and Machine Learning, Chennai: Academic Press, pp. 619-761, 2014.
  3. A.H. Sayed, T. Al-Naffouri, and V.H. Nascimento: Energy Conservation in Adaptive Filtering. Nonlinear Signal and Image Processing: Theory, Methods, and Applications. Kenneth Barner and Gonzalo R Arce, eds. CRC Press, 2003.

  4. A.H. Sayed, V.H. Nascimento: Energy Conservation and the Learning Ability of LMS Adaptive Filters. Least-Mean-Square Adaptive Filters. S. Haykin and B. Widrow, eds. Wiley, 2003.

  5. A.H. Sayed, V.H. Nascimento: Design criteria for uncertain models with structured and unstructured uncertaintiesRobustness in Identification and Control, Springer-Verlag,
    London, 1999.

International Conferences

  1. Claser, R.; Nascimento, V.H.; Zakharov, Y.V.: A low-complexity RLS-DCD algorithm for Volterra system identification, EUSIPCO 2016.
  2. Zakharov, Y.V.; Nascimento, V.H.: Sparse sliding-window RLS adaptive filter with dynamic regularization, EUSIPCO 2016.
  3. Nascimento, V.H.; Silva, M.C.; Masiero, B.S.: Acoustic image estimation using fast transforms, IEEE Sensor Array and Multichannel Signal Processing Workshop, 2016.
  4. Almeida Neto, F.G.; Nascimento, V.H.; de Paula, A: Distributed multichannel adaptive filtering, EUSIPCO 2015, pp. 1177-1181.
  5. Lopes, C.G.; Chamon, L.F.O.; Nascimento, V.H.: Towards spatially universal adaptive diffusion networks, GlobalSIP 2014, pp. 803-807.
  6. Almeida Neto, F.G.; Nascimento, V.H.; Zakharov, Y.V.; de Lamare, R.C.: Adaptive re-weighting homotopy for sparse beamforming, EUSIPCO 2014, pp. 1287-1291.
  7. Azpicueta-Ruiz, L.A.; Arenas-García, J., Nascimento, V.H.; Silva, M.T.M.: Reduced-cost combination of adaptive filters for acoustic echo cancellation, International Telecommunications Symposium (ITS) 2014.
  8. Zakharov, Y.V.; Nascimento, V.H.: Homotopy RLS-DCD adaptive filter, International Symposium on Wireless Communication Systems, 2013.
  9. Nascimento, V.H.; Silva, M.T.M.; Arenas-García, J.: A low-cost implementation strategy for combinations of adaptive filters, ICASSP 2013, pp. 5671-5675.
  10. Zakharov, Y.; Nascimento, V.H.: Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery, Asilomar Conference on Signals, Systems, and Computers, 2012.
  11. Nascimento, V.H.; Sayed, A.H.: Mean-square analysis of continuous-time distributed estimation strategies, Asilomar Conference on Signals, Systems, and Computers, 2012.
  12. Zakharov, Y.; Nascimento, V.H.: Sparse RLS adaptive filter with diagonal loading, Asilomar Conference on Signals, Systems, and Computers, 2012.
  13. Gonzalo-Ayuso, A.; Silva, M.T.M.; Nascimento, V.H.; Arenas-García, J.: Improving sparse echo cancellation via convex combination of two NLMS filters with different lengths, 2012 IEEE International Workshop on Machine Learning for Signal Processing.
  14. Almeida Neto, F.G.; Nascimento, V.H.: Second-order analysis of the RC-WL-QLMS algorithm, 2012 International Symposium on Wireless Communication Systems.
  15. Nascimento, V.H.; Sayed, A.H.: Continuous-time distributed estimation with asymmetric mixing, 2012 IEEE Statistical Signal Processing Workshop.
  16. Nascimento, V.H.; de Lamare, R.C.: A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters, ICASSP 2012.
  17. Nascimento, V.H.; Sayed, A.H.: Continuous-time distributed estimation, Asilomar Conference on Signals, Systems, and Computers, 2011.
  18. Meng, R.; de Lamare, R.C.; Nascimento, A.H.: Sparsity-aware affine projection adaptive algorithms for system identification, Sensor Signal Processing for Defense (SSPD) 2011.
  19. Ribeiro, F.; Florencio, D.; Nascimento, V.H.: Crowdsourcing subjective image quality evaluation, ICIP 2011.
  20. Ribeiro, F.P.; Nascimento, V.H.: "Fast near-field acoustic imaging with separable arrays,"  2011 IEEE Statistical Signal Processing Workshop (SSP), pp. 429-432, 28-30 June 2011.
  21. Almeida Neto, F.G.; Nascimento, V.H.: "A novel reduced-complexity widely linear QLMS algorithm," 2011 IEEE Statistical Signal Processing Workshop (SSP), pp. 81-84, 28-30 June 2011.
  22. Ribeiro, Flavio P.; Nascimento, Vitor H.; , "Computationally efficient regularized acoustic imaging," 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2688-2691, 22-27 May 2011.
  23. Ribeiro, Flavio P.; Nascimento, Vitor H.; , "A fast transform for acoustic imaging with separable arrays," 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2680-2683, 22-27 May 2011.
  24. R. Fa, R.C. de Lamare e V.H. Nascimento: "Knowledge-Aided STAP Algorithm using Affine Combination of Inverse Covariance Matrices for Heterogenous Clutter". Sensor Signal Processing for Defense, London, UK, pp. 1-5, Sept. 2010.
  25. Almeida Neto, F.G.; Nascimento, V.H.; Silva, M.T.M.: "Reduced-complexity widely linear adaptive estimation," 2010 7th International Symposium on Wireless Communication Systems (ISWCS), pp. 399-403, 19-22 Sept. 2010.
  26. de Lamare, R.C.; Nascimento, V.H.; , "Joint model-order and step-size adaptation with convex combinations of reduced-rank adaptive filters," 2010 7th International Symposium on Wireless Communication Systems (ISWCS), pp. 394-398, 19-22 Sept. 2010.
  27. F.G. Almeida Neto,  V.H.~Nascimento e J.C.M. Bermudez: Applying Markov chains to calculate the probability of saturation in digital IIR filters. International Telecommunications Symposium, Manaus, Brazil, pp. 1-5, Sep. 2010.
  28. R. Candido, M.T.M. Silva, M.D. Miranda and V.H. Nascimento: A statistical analysis of the dual-mode CMA2010 IEEE International Symposium on Circuits and Systems, pp. 2510-2513, Paris, France, 2010.
  29. V.H. Nascimento, M.T.M. Silva, L.A. Azpicueta-Ruiz and J. Arenas-García: On the tracking performance of combinations of Least Mean Squares and Recursive Least Squares adaptive filters. 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, p. 3710-3713, Dallas, USA, March 2010.
  30. M.T.M. Silva, V.H. Nascimento and J. Arenas-García: A transient analysis for the convex combination of two adaptive filters with transfer of coefficients2010 IEEE International Conference on Acoustics, Speech and Signal Processing,  p. 3842-3845, Dallas, USA, March 2010.
  31. R. Fa, R.C. de Lamare and V.H. Nascimento: Knowledge-Aided STAP Algorithm using Convex Combination of Covariance Matrix Inversions for Heterogenous Clutter. 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, p. 2742-2745, Dallas, USA, March 2010.
  32. V.H. Nascimento, M.T.M. Silva, R. Candido and J. Arenas-García: A transient analysis for the convex combination of adaptive filters.  Proceedings, 2009 IEEE Workshop on Statistical Signal Processing, Cardiff, UK.
  33. J. Mendes Filho, M.T.M. Silva, M.D. Miranda and V.H. Nascimento: A region-based algorithm for blind equalization of QAM signals.  Proceedings, 2009 IEEE Workshop on Statistical Signal Processing, Cardiff, UK.
  34. R. Candido, M.T.M. Silva and V.H. Nascimento: On combinations of CMA equalizersProceedings, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2865-2868, Taipei, Taiwan.
  35. R. Candido, M.T.M. Silva and V.H. Nascimento: Affine combinations of adaptive filters (invited paper).  Proceedings of the 42nd Asilomar Conference on Signals, Systems, and Computers , 2008, pp. 236-240, Pacific Grove, CA.
  36. B.S. Masiero, F.P. Ribeiro and V.H. Nascimento: Transducer placement strategy for active noise control of power transformers. Fortschritte der Akustik: Plenarvorträge und Fachbeiträge der 34. Deutschen Jahrestagung für Akustik DAGA 2008, pp. 313-314, Dresden, Germany.
  37. M.T.M. Silva and V.H. Nascimento: Tracking analysis of the Constant Modulus AlgorithmProceedings, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, pp. 3561-3564.
  38. F.P. Ribeiro e V.H. Nascimento: A robust and computationally efficient method for tonal active noise control using a simplified secondary path model. Proceedings, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, pp. 345-348.
  39. M.D. Miranda, M.T.M. Silva and V.H. Nascimento: Avoiding divergence in the Constant Modulus Algorithm. Proceedings, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, pp. 3565-3568.
  40. M.T.M. Silva and V.H. Nascimento: Convex Combination of Blind Adaptive Equalizers with Different Tracking Capabilities. Proceedings, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, vol. III, pp. III_457--III_460.
  41. M.T.M. Silva and V.H. Nascimento: Convex Combination of Adaptive Filters with Different Tracking Capabilities. Proceedings, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, HI, vol. III, pp. III_925--III_928.
  42. Y.R. Montenegro Maluenda, J.C.M. Bermudez, and V.H. Nascimento: Modeling finite precision LMS behavior using Markov chains. Proceedings, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, vol. III, pp. III_97--III_100.  Toulouse, France.

  43. V.H. Nascimento e J.C.M. Bermudez: When is the least-mean fourth algorithm mean-square stable?  Presented at the 2005 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), Philadelphia, USA.

  44. A.J. Veloso e V.H. Nascimento: Headphone with Active Noise Control using Analog Adaptive Filters. Presented at the 34th International Congress and Exposition on Noise Control Engineering -- Internoise 2005, Rio de Janeiro, RJ.

  45. V.H. Nascimento: A simple model for the effect of normalization in adaptive filters .  2004 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004), Montreal, Canada.

  46. L.C.L. Acácio and V.H. Nascimento: Pre-FFT equalization in DVB-T systems .  International Workshop on Telecommunications (IWT04), Santa Rita do Sapucaí, Brazil, 2004.

  47. P.I. Hübscher, V.H. Nascimento, and J.C.M. Bermudez: New results on the stability analysis of the LMF (least mean fourth)
    adaptive algorithm
    . 2003 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'03), Hong Kong, China.

  48. M.A. Garcia, A.L.R. Cardoso, V.H. Nascimento, and J.C.T.B. Moraes: Enhancement of dynamic response of transducers used in ergospirometry with adaptive and Wiener filtering . IFMBE Proceedings 2nd European Medical and Biological Engineering Conference, vol. 2, pp. 1462--1463, Vienna, Austria, 2002.

  49. V.H. Nascimento: Improving the initial convergence of adaptive filters: variable-length LMS algorithms . 2002 14th International Conference on Digital Signal Processing Proceedings, vol. 2, pp. 667--670, Thira, Santorini, Greece, 2002.

  50. V.H. Nascimento and A.H. Sayed: Optimal state regulation for uncertain state-space models . Proceedings of the 1999 American Control Conference , 1999, vol. 1, pp. 419--424, San Diego, CA.

  51. V.H. Nascimento and A.H. Sayed: Are ensemble-average learning curves reliable in evaluating the performance fo adaptive filters? . Proceedings of the 32nd Asilomar Conference on
    Signals, Systems, and Computers , 1998, vol. 2, pp. 1171-1175, Pacific Grove, CA.

  52. V.H. Nascimento and A.H. Sayed: Stability of adaptive filters by means of a state equationProceedings of the 36th Annual
    Allerton Conference on Communications, Control and Computing, 1998, pp. 242--251, Urbana, IL.

  53. A.H. Sayed, A. Garulli, V.H. Nascimento, S. Chandrasekaran: Exponentially-weighted iterative solutions for worst-case parameter estimation. Proceedings of the 5th IEEE Mediterranean Conference on Control and Systems, 1997, Cyprus.

  54. V.H. Nascimento, A.H. Sayed: Lp-robustness and
    convergence of estimation schemes in adaptive control
    Proceedings of the 1997 American Control Conference, 1997, vol. 1, pp. 338--342, Albuquerque, NM.

  55. V.H. Nascimento and A.H. Sayed: An unbiased and cost-effective leaky-LMS filter . Proceedings of the 30th Asilomar Conference on Signals, Systems, and Computers, 1996, vol. 2, pp. 1078-1082, Pacific Grove, CA.

Brazilian Conferences (some papers in Portuguese)

  1. R. Candido, M. Silva, V. Nascimento, M.D. Miranda: Análise estatística do algoritmo Shalvi-Weinstein.   Anais do XXVII Simpósio Brasileiro de Telecomunicações (CDROM), pp. 1-6, Blumenau, SC, 2009.
  2. R. Candido, M. Silva, V. Nascimento: Uma combinação afim de dois equalizadores autodidatas adaptados com o CMAXXVI Simpósio Brasileiro de Telecomunicações (SBrT'08), Rio de Janeiro, RJ, 2008.
  3. B.S. Masiero e V.H. Nascimento: Sistemas de áudio no controla ativo de ruído. 5º Congresso de Engenharia de Áudio (AES-Brasil), São Paulo, 2007.
  4. Y.R. Montenegro Maluenda, J.C.M. Bermudez, and V.H. Nascimento. Propriedades do algoritmo LMS operando em precisão finita. Anais do XXII Simpósio Brasileiro de Telecomunicações (CDROM), Campinas, SP, Brazil, 2005.

  5. V.H. Nascimento and J.C.M. Bermudez: On the stability of the least-mean fourth (LMF) algorithm.  Anais do XXI Simpósio Brasileiro de Telecomunicações (CDROM), Belem, PA, Brazil, 2004.

  6. V.H. Nascimento and Y.S. Provase : Redução de Distorção Harmônica em Amplificadores por meio de Filtros Adaptativos Analógicos . Anais do XX Simpósio Brasileiro de Telecomunicações (CDROM), pp. 1--6, Rio de Janeiro, RJ, Brazil, 2003.

  7. V.H. Nascimento: Variable-length adaptive algorithms for sparse filters.   Anais do XX Simpósio Brasileiro de Telecomunicações (CDROM), pp. 1--6, Rio de Janeiro, RJ, Brazil, 2003.

  8. M.A. Garcia, A.L.R. Cardoso, V.H. Nascimento, and J.C.T. de Barros Moraes: Compensação da resposta dinâmica de transdutor de O 2 utilizando filtragem adaptativa'.  Anais  do XVIII Congresso Brasileiro de Engenharia Biomédica, 2002.

  9. V.H. Nascimento: The normalized LMS algorithm with dependent noise . Anais do 19º Simpósio Brasileiro de Telecomunicações, Fortaleza, CE, Brazil, 2001.


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