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Olivier Besson

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 Journal papers

  1. O. Besson, "Stein’s approach based MVDR filter modification, IEEE Signal Processing Letters, vol. 31, pp. 924-928, 2024
  2. O. Besson, "Adaptive detection of subspace signals from two independent sets of samples drawn from a matrix-variate Student distribution", Signal Processing, vol. 215, pp. 109292, February 2024
  3. O. Besson, "Rao, Wald, and gradient tests for adaptive detection of Swerling I targets", IEEE Transactions Signal Processing, vol. 71, pp. 3043-3052, 2023
  4. F. Vincent, O. Besson, B. Gigleux and E. Chaumette, "An improved fast estimation of single frequency", IEEE Signal Processing Letters, vol. 30, pp. 1222-1226, 2023
  5. O. Besson, "Adaptive detection of Rician targets", IEEE Transactions Aerospace Electronic Systems, vol. 59, no. 4, pp. 4700-4708, August 2023
  6. B. Gigleux, F. Vincent, O. Besson and E. Chaumette, "Improved post detection integration", Signal Processing, vol. 213, pp. 109195, December 2023
  7. O. Besson, "Adaptive detection of Gaussian rank-one signals using adaptively whitened data and Rao, gradient and Durbin Tests", IEEE Signal Processing Letters, vol. 30, pp. 399-402, 2023
  8. O. Besson and F. Vincent, "Analysis of adaptive detectors robustness to mismatches on noise mean value", IEEE Transactions Signal Processing, vol. 70, pp. 268-279, 2022
  9. C. Mailhes, O. Besson, A. Guillot and S. Le Gac, "Improving the estimation of the wavenumber spectra from altimeter observations", IEEE Transactions Geoscience Remote Sensing, vol. 60, 2022
  10. F. Vincent and O. Besson, "Target detection in hyperspectral imaging combining replacement and additive models", Signal Processing, vol. 188, pp. 108212, November 2021
  11. O. Besson, "On the distributions of some statistics related to adaptive filters trained with t-distributed samples", Signal Processing, vol. 186, pp. 108114, September 2021
  12. F. Vincent, O. Besson and S. Matteoli, "Anomaly detection for replacement model in hyperspectral imaging", Signal Processing, vol. 185, pp. 108079, August 2021
  13. O. Besson, "Impact of covariance mismatched training samples on constant false alarm rate detectors", IEEE Transactions Signal Processing, vol. 69, pp. 755-765, 2021
  14. O. Besson, F. Vincent and S. Matteoli, "Adaptive target detection in hyperspectral imaging from two sets of training samples with different means, Signal Processing, vol. 181, pp. 107909, April 2021
  15. F. Vincent and O. Besson, "Robust adaptive target detection in hyperspectral imaging", Signal Processing, vol. 181, pp. 107905, April 2021
  16. F. Vincent and O. Besson, "Non zero mean adaptive cosine estimator and application to hyperspectral imaging", IEEE Signal Processing Letters, vol. 27, pp. 1989-1993, 2020
  17. O. Besson, "Analysis of the SNR loss distribution with covariance mismatched training samples", IEEE Transactions Signal Processing, vol. 68, pp. 5759-5768, 2020
  18. O. Besson, F. Vincent and X. Gendre, "A Stein’s approach to covariance matrix estimation using regularization of Cholesky factor and log-Cholesky metric", Statistics & Probability Letters, vol. 167, December 2020
  19. F. Vincent, J. Vilà-Valls, O. Besson, D. Medina and E. Chaumette, "Doppler-aided Positioning in GNSS receivers - A Performance Analysis", Signal Processing, vol. 176, November 2020
  20. O. Besson and F. Vincent,"Sub-pixel detection in hyperspectral imaging with elliptically contoured t-distributed background", Signal Processing, vol. 175, October 2020
  21. O. Besson, "Adaptive detection using whitened data when some of the training samples undergo covariance mismatch", IEEE Signal Processing Letters, vol. 27, pp. 795-799, 2020
  22. F. Vincent and O. Besson, "Generalized likelihood ratio test for modified replacement model in hyperspectral imaging detection", Signal Processing, vol. 174, September 2020
  23. F. Vincent and O. Besson, "One-step generalized likelihood ratio test for subpixel target detection in hyperspectral imaging", IEEE Transactions Geoscience Remote Sensing, vol. 58, no. 6, pp. 4479-4489, June 2020
  24. O. Besson and F. Vincent, "Properties of the partial Cholesky factorization and application to reduced-rank adaptive beamforming", Signal Processing, vol. 167, February 2020
  25. O. Besson, "Maximum likelihood covariance matrix estimation from two possibly mismatched data sets", Signal Processing, vol. 167, February 2020
  26. O. Besson, "Adaptive detection using randomly reduced dimension generalized likelihood ratio test", Signal Processing, vol. 166, January 2020
  27. P. Addabbo, O. Besson, D. Orlando and G. Ricci, "Adaptive detection of coherent radar targets in the presence of noise jamming", IEEE Transactions Signal Processing, vol. 67, no. 24, pp. 6498-6510, December 2019
  28. A. Coluccia, G. Ricci and O. Besson, "Design of robust radar detectors through random perturbation of the target signature", IEEE Transactions Signal Processing, vol. 67, no. 19, pp. 5118-5129, October 2019.
  29. O. Besson, "Detection of Gaussian signal using adaptively whitened data", IEEE Signal Processing Letters, vol. 26, no. 3, pp. 430-434, March 2019.
  30. O. Besson, "An alternative to diagonal loading for implementation of a white noise array gain constrained robust beamformer", Signal Processing, vol. 152, pp. 79-82, November 2018.
  31. F. Vincent, F. Pascal and O. Besson, "A bias-compensated MUSIC for small number of samples", Signal Processing, vol. 138, pp. 117-120, September 2017.
  32. O. Besson, A. Coluccia, E. Chaumette, G. Ricci and F. Vincent, "Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics," IEEE Transactions Signal Processing, vol. 65, no. 4, pp. 1082-1092, February 2017.
  33. Y. Abramovich, O. Besson and B. Johnson, "Conditional Expected Likelihood Technique for Compound Gaussian and Gaussian Distributed Noise Mixtures", IEEE Transactions Signal Processing, vol. 64, no. 24, pp. 6640-6649, December 2016.
  34. O. Besson, "Bounds for a Mixture of Low-Rank Compound-Gaussian and White Gaussian Noises", IEEE Transactions Signal Processing, vol. 64, no. 21, pp. 5723-5732, November 2016.
  35. O. Besson, Y. Abramovich and B. Johnson, "Direction of arrival estimation in a mixture of K-distributed and Gaussian noise", Signal Processing, vol. 128, pp. 512-520, November 2016.
  36. O. Besson and Y. Abramovich, "Sensitivity Analysis of Likelihood Ratio Test in K Distributed and/or Gaussian Noise", IEEE Signal Processing Letters, vol. 22, no. 12, pp. 2329-2333, December 2015.
  37. Y. Abramovich, O. Besson and B. Johnson, "Bounds for Maximum Likelihood Regular and Non-Regular DoA Estimation in K-Distributed Noise", IEEE Transactions Signal Processing, vol. 63, no. 21, pp. 5746-5757, November 2015.
  38. F. Bandiera, O. Besson, A. Coluccia and G. Ricci, "ABORT-like detectors : A Bayesian approach", IEEE Transactions Signal Processing, vol. 63, no. 19, pp. 5274-5284, October 2015.
  39. Y. Abramovich and O. Besson, "Fluctuating Target Detection in Fluctuating K-Distributed Clutter", IEEE Signal Processing Letters, vol. 22, no. 10, pp. 1791-1795, October 2015.
  40. E. Chaumette, F. Vincent and O. Besson, "On ordered normally distributed vector parameter estimates", Signal Processing, vol. 115, pp. 20-26, October 2015.
  41. Y. Abramovich and O. Besson, "On the Expected Likelihood Approach for Assessment of Regularization Covariance Matrix", IEEE Signal Processing Letters, vol. 22, no. 6, pp. 777-781, June 2015.
  42. M. Lasserre, S. Bidon, O. Besson and F. Le Chevalier, "Bayesian sparse Fourier representation of off-grid targets with application to experimental radar data", Signal Processing, vol. 111, pp. 261-273, June 2015
  43. O. Besson, "On false alarm rate of matched filter under distribution mismatch", IEEE Signal Processing Letters, vol. 22, no. 2, pp. 167-171, February 2015.
  44. F. Vincent, O. Besson and E. Chaumette, "Approximate unconditional maximum likelihood estimation of two closely spaced sources", IEEE Signal Processing Letters, vol. 22, no. 1, pp. 86-89, January 2015.
  45. O. Besson and Y. Abramovich, "Adaptive detection in elliptically distributed noise and under-sampled scenario", IEEE Signal Processing Letters, vol. 21, no. 12, pp. 1531-1535, December 2014.
  46. F. Vincent, O. Besson and E. Chaumette, "Approximate maximum likelihood estimation of two closely spaced sources", Signal Processing, vol. 97, pp. 83-90, April 2014.
  47. O. Besson and Y. Abramovich, "Invariance properties of the likelihood ratio for covariance matrix estimation in some complex elliptically contoured distributions", Journal of Multivariate Analysis, vol. 124, pp. 234-246, February 2014.
  48. O. Besson, N. Dobigeon and J.-Y. Tourneret, "Joint Bayesian estimation of close subspaces from noisy measurements", IEEE Signal Processing Letters, vol. 21, no. 2, pp. 168-171, February 2014.
  49. O. Besson and Y. Abramovich, "Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 2 : The Under-Sampled Case", IEEE Transactions Signal Processing, vol. 61, no. 23, pp. 5819-5829, December 2013.
  50. Y. Abramovich and O. Besson, "Regularized Covariance Matrix Estimation in Complex Elliptically Symmetric Distributions Using the Expected Likelihood Approach - Part 1 : The Over-Sampled Case", IEEE Transactions Signal Processing, vol. 61, no. 23, pp. 5807-5818, December 2013.
  51. O. Besson and S. Bidon, "Robust adaptive beamforming using a Bayesian steering vector error model", Signal Processing, vol. 93, no. 12, pp. 3290-3299, December 2013.
  52. O. Besson and Y. Abramovich, "On the Fisher information matrix for multivariate elliptically contoured distributions", IEEE Signal Processing Letters, vol. 20, no. 11, pp. 1130-1133, November 2013.
  53. O. Besson and S. Bidon, "Adaptive processing with signal contaminated training samples", IEEE Transactions Signal Processing, vol. 61, no. 17, pp. 4318-4329, September 2013.
  54. F. Deudon, S. Bidon, O. Besson and J.-Y. Tourneret, "Velocity dealiased spectral estimators of range migrating targets using a single low-PRF wideband waveform", IEEE Transactions Aerospace Electronic Systems, vol. 49, no. 1, pp. 244-265, January 2013.
  55. F. Bandiera, O. Besson and G. Ricci, "Direction detector for distributed targets in unknown noise and interference", Electronics Letters, vol. 49, no. 1, pp. 68-69, January 2013.
  56. O. Besson, N. Dobigeon and J.-Y. Tourneret, "CS decomposition based Bayesian subspace estimation", IEEE Transactions Signal Processing, vol. 60, no. 8, pp. 4210-4218, August 2012.
  57. O. Besson, N. Dobigeon and J.-Y. Tourneret, "Minimum mean square distance estimation of a subspace", IEEE Transactions Signal Processing, vol. 59, no. 12, pp. 5709-5720, December 2011.
  58. F. Bandiera, O. Besson and G. Ricci, "Adaptive detection of distributed targets in compound-Gaussian noise without secondary data : A Bayesian approach", IEEE Transactions Signal Processing, vol. 59, no. 12, pp. 5698-5708, December 2011.
  59. S. Bidon, O. Besson and J.-Y. Tourneret, "Knowledge-aided STAP in heterogeneous clutter using a hierarchical Bayesian algorithm", IEEE Transactions Aerospace Electronic Systems, vol. 47, no. 3, pp. 1863-1879, July 2011.
  60. S. Bidon, O. Besson and J.-Y. Tourneret, "Synthèse des traitements STAP pour la détection en environnement hétérogène", Revue Traitement du Signal, vol. 28, no. 1-2, pp. 81-112.
  61. J. Montesinos, O. Besson and C. Larue de Tournemine, ’’Adaptive beamforming for large arrays in satellite communications systems with dispersed coverage’’, IET Communications, vol. 5, no. 3, pp. 350-361, February 2011.
  62. F. Bandiera, O. Besson and G. Ricci, "Knowledge-aided covariance matrix estimation and adaptive detection in compound-Gaussian noise", IEEE Transactions Signal Processing, vol. 58, no. 10, pp. 5391-5396, October 2010.
  63. O. Besson, S. Bidon and C. Larue de Tournemine, "Robust approaches to remote calibration of a transmitting array", Signal Processing (Elsevier), vol. 90, no. 5, pp. 1373-1381, May 2010.
  64. O. Besson, J. Montesinos and C. Larue de Tournemine, "On convergence of the auxiliary-vector beamformer with rank-deficient covariance matrices", IEEE Signal Processing Letters, vol. 16, no. 4, pp. 249-252, April 2009.
  65. F. Vincent, O. Besson and C. Richard, "Matched subspace detection with hypothesis dependent noise power", IEEE Transactions Signal Processing, vol. 56, no. 11, pp. 5713-5718, November 2008.
  66. F. Bandiera, O. Besson, D. Orlando and G. Ricci, "An improved adaptive sidelobe blanker", IEEE Transactions Signal Processing, vol. 56, no. 9, pp. 4152-4161, September 2008.
  67. O. Besson, S. Bidon and J.-Y. Tourneret, "Bounds for estimation of covariance matrices from heterogeneous samples", IEEE Transactions Signal Processing, vol. 56, no. 7, pp. 3357-3362, July 2008.
  68. F. Bandiera, O. Besson, D. Orlando and G. Ricci, "Theoretical performance analysis of the W-ABORT detector", IEEE Transactions Signal Processing, vol. 56, no. 5, pp. 2117-2121, May 2008.
  69. G. Sow, O. Besson, M.-L. Boucheret and C. Guiraud, "Beamforming for satellite communications in emergency situations", European Transactions Telecommunications, vol. 19, no. 2, pp. 161-171, March 2008.
  70. O. Besson, S. Bidon and J.-Y. Tourneret, "Covariance matrix estimation with heterogeneous samples", IEEE Transactions Signal Processing, vol. 56, no. 3, pp. 909-920, March 2008.
  71. S. Bidon, O. Besson and J.-Y. Tourneret,"The adaptive coherence estimator is the generalized likelihood ratio test for a class of heterogeneous environments", IEEE Signal Processing Letters, vol. 15, pp. 281-284, 2008.
  72. S. Bidon, O. Besson and J.-Y. Tourneret, "A Bayesian approach to adaptive detection in non-homogeneous environments", IEEE Transactions Signal Processing, vol. 56, no. 1, pp. 205-217, January 2008.
  73. F. Bandiera, O. Besson and G. Ricci, "An ABORT-like detector with improved mismatched signals rejection capabilities", IEEE Transactions Signal Processing, vol. 56, no. 1, pp. 14-25, January 2008.
  74. O. Besson and D. Orlando, "Adaptive detection in non-homogeneous environments using the generalized eigenrelation" IEEE Signal Processing Letters, vol. 14, no. 10, pp. 731-734, October 2007.
  75. F. Bandiera, O. Besson, D. Orlando, G. Ricci and L. L. Scharf, "GLRT-based direction detectors in homogeneous noise and subspace interference" IEEE Transactions Signal Processing, vol. 55, no. 6, pp. 2386-2394, June 2007.
  76. O. Besson, "Detection in the presence of surprise or undernulled interference" IEEE Signal Processing Letters, vol. 14, no. 5, pp. 352-354, May 2007.
  77. O. Besson, J.-Y. Tourneret and S. Bidon, "Knowledge-aided Bayesian detection in heterogeneous environments" IEEE Signal Processing Letters, vol. 14, no. 5, pp. 355-358, May 2007.
  78. O. Besson, "Adaptive detection with bounded steering vectors mismatch angle" IEEE Transactions Signal Processing, vol. 55, no. 4, pp. 1560-1564, April 2007.
  79. O. Besson, L. L. Scharf and S. Kraut, "Adaptive detection of a signal known only to lie on a line in a known subspace, when primary and secondary data are partially homogeneous", IEEE Transactions Signal Processing, vol. 54, no. 12, pp. 4698-4705, December 2006.
  80. O. Besson, ’’Detection of a signal in linear subspace with bounded mismatch’’, IEEE Transactions Aerospace Electronic Systems, vol. 42, no. 3, pp. 1131-1139, July 2006.
  81. O. Besson, S. Kraut and L.L. Scharf , "Detection of an unknown rank-one component in white noise", IEEE Transactions Signal Processing, vol. 54, no. 7, pp. 2835-2839, July 2006.
  82. O. Besson and L.L. Scharf , "CFAR matched direction detector", IEEE Transactions Signal Processing, vol. 54, no. 7, pp. 2840-2844, July 2006.
  83. O. Besson, L.L. Scharf and F. Vincent, "Matched direction detectors and estimators for array processing with subspace steering vector uncertainties", IEEE Transactions Signal Processing, vol. 53, no. 12, pp 4453-4463, December 2005.
  84. O. Besson, G. Varfolomeev and F. Vincent, "Amplitude estimation of a signal with known waveform in the presence of steering vector uncertainties", IEEE Transactions Signal Processing, vol. 53, no. 11, pp 4403-4407, November 2005.
  85. O. Besson and F. Vincent, "Performance analysis of beamformers using generalized loading of the covariance matrix in the presence of random steering vector errors", IEEE Transactions Signal Processing, vol. 53, no. 2, pp 452-459, February 2005.
  86. F. Vincent and O. Besson, "Steering vector errors and diagonal loading", IEE Proceedings - Radar, Sonar and Navigation, vol. 151, no. 6, pp 337-343, December 2004.
  87. O. Besson, A. Monakov and C. Chalus "Signal waveform estimation in the presence of uncertainties about the steering vector", IEEE Transactions Signal Processing, vol. 52, no. 9, pp 2432-2440, September 2004.
  88. A. Monakov and O. Besson, "Direction finding for an extended target with possibly non-symmetric spatial spectrum", IEEE Transactions Signal Processing, vol. 52, no. 1, pp 283-287, January 2004.
  89. P. Stoica and O. Besson, "Training sequence design for frequency offset and frequency selective channel estimation", IEEE Transactions Communications, vol. 51, no. 11, pp 1910-1917, November 2003.
  90. M. Agrawal, P. Stoica, O. Besson and P. Ahgren "Estimation of nominal directions of arrival and angular spreads of distributed dources", Signal Processing, vol. 83, no. 8, pp 1833-1838, August 2003.
  91. Y. Kamiya and O. Besson, "Interference rejection in frequency-hopping communication systems using a constant power algorithm", IEEE Transactions Communications, vol. 51, no. 4, pp 627-633, April 2003.
  92. O. Besson and P. Stoica, "On parameter estimation of MIMO flat-fading channels with frequency offsets", IEEE Transactions Signal Processing, vol. 51, no. 3, pp 602-613, March 2003.
  93. O. Besson and P. Stoica, "Training Sequence Selection for Frequency Offset Estimation in Frequency Selective Channels", Digital Signal Processing A Review Journal, vol. 13, no. 1, pp 106-127, January 2003.
  94. O. Besson, P. Stoica and Y. Kamiya, "Direction finding in the presence of an intermittent interference", IEEE Transactions Signal Processing, vol. 50, no. 7, pp 1554-1564, July 2002.
  95. M. Ghogho, O. Besson and A. Swami, "Estimation of directions of arrival of multiple scattered sources", IEEE Transactions Signal Processing, vol. 49, no. 11, pp 2467-2480, November 2001.
  96. O. Besson and P. Stoica, "On frequency offset estimation for flat fading channels", IEEE Communication Letters, vol. 5, no. 10, pp 402-404, October 2001.
  97. O. Besson, P. Stoica and A.B. Gershman, "Simple and accurate direction of arrival estimator in the case of imperfect spatial coherence", IEEE Transactions Signal Processing, vol. 49, no. 4, pp 730-737, April 2001.
  98. P. Stoica, O. Besson and A.B. Gershman, "Direction of arrival estimation of an amplitude distorted wavefront", IEEE Transactions Signal Processing, vol. 49, no. 2, pp 269-276, February 2001.
  99. O. Besson and P. Stoica, "Computationally efficient maximum likelihood approach to DOA estimation of a scattered source", Wireless Personal Communications, vol. 16, no. 2, pp 135-148, February 2001.
  100. F. Vincent and O. Besson, "Estimating time-varying DOA and Doppler shift in radar array processing", Proc. IEE-F, Radar Sonar and Navigation, vol. 147, no. 6, pp 285-290, December 2000.
  101. O. Besson, F. Gini, H.D. Griffiths and F. Lombardini, "Estimating ocean surface velocity and coherence time using multichannel ATI-SAR systems", Proc. IEE-F, Radar Sonar and Navigation, vol. 147, no. 6, pp 299-308, December 2000.
  102. O. Besson, F. Vincent, P. Stoica and A.B. Gershman, "Approximate maximum likelihood estimators for array processing in multiplicative noise environments", IEEE Transactions Signal Processing, vol. 48, no. 9, pp 2506-2518, September 2000.
  103. O. Besson and P. Stoica, "Decoupled estimation of DOA and angular spread for a spatially distributed source", ’IEEE Transactions Signal Processing, vol. 48, no. 7, pp 1872-1882, July 2000.
  104. P. Stoica and O. Besson, "Maximum likelihood DOA estimation for constant-modulus signal", Electronics Letters, vol 36, no.9, pp 849-851, April 2000.
  105. O. Besson, M. Ghogho and A. Swami, "Parameter estimation for random amplitude chirp signals", IEEE Transactions Signal Processing, vol. 47, no. 12, pp 3208-3219, December 1999.
  106. O. Besson and P. Stoica, "A fast and robust algorithm for DOA estimation of a spatially dispersed source", Digital Signal Processing A Review Journal, vol. 9, no. 4, pp 267-279, October 1999.
  107. F. Vincent and O. Besson, "Estimation de signaux chirp à amplitude variant dans le temps", Revue Traitement du Signal, vol. 16, no. 3, pp 165-174, September 1999.
  108. O. Besson, G.B. Giannakis and F. Gini, "Improved estimation of hyperbolic frequency modulated chirp signals", IEEE Transactions Signal Processing, vol. 47, no. 5, pp 1384-1388, May 1999.
  109. O. Besson and P. Stoica, "Simple test for distinguishing constant from time-varying amplitude in harmonic retrieval problems", IEEE Transactions Signal Processing, vol. 47, no. 4, pp 1137-1141, April 1999.
  110. O. Besson and P. Stoica, "Nonlinear least-squares approach to frequency estimation and detection for sinusoidal signals with arbitrary envelope", Digital Signal Processing A Review Journal, vol. 9, no. 1, pp 45-56, January 1999.
  111. F. Galtier and O. Besson, "On-line joint detection of particles’ arrival and estimation of speed in laser anemometry", Signal Processing, vol. 67, no. 3, pp 291-305, June 1998.
  112. O. Besson and P. Stoica, "Exponential signals with time-varying amplitude : Parameter estimation via Polar Decomposition", Signal Processing, vol. 66, no. 1, pp 27-43, April 1998.
  113. F. Galtier and O. Besson, "Analysis of a frequency estimator for a class of laser signals with time-varying amplitude", Proc. IEE-F, Radar Sonar and Navigation, vol 145, no. 2, pp 109-118, April 1998.
  114. O. Besson and P. Stoica, "Two subspace-based methods for frequency estimation of sinusoidal signals with random amplitude", Proc. IEE-F, Radar Sonar and Navigation, vol 144, no. 4, pp 169-176, August 1997.
  115. O. Besson and F. Galtier, "Estimating particle’s velocity from laser measurements : Maximum Likelihood and Cramer-Rao Bounds", IEEE Transactions Signal Processing, vol 44, no. 12, pp 3056-3068, December 1996.
  116. O. Besson and P. Stoica, "Estimation of the parameters of a random amplitude sinusoid by correlation fitting", IEEE Transactions Signal Processing, vol. 44, no. 11, pp 2911-2916, November 1996.
  117. O.Besson and P. Stoica, "Analysis of MUSIC and ESPRIT frequency estimates for sinusoidal signals with lowpass envelopes", IEEE Transactions Signal Processing, vol. 44, no. 9, pp 2359-2364, September 1996.
  118. O. Besson and P. Stoica, "Sinusoidal signals with random amplitude : least-squares estimators and their statistical analysis", IEEE Transactions Signal Processing, vol. 43, no. 11, pp. 2733-2744, November 1995.
  119. O. Besson and P. Stoica, "Statistical analysis of the least-squares autoregressive frequency estimator for random amplitude sinusoidal signals," Signal Processing, vol. 46, no. 2, pp. 203-210, October 1995.
  120. O. Besson, "Improved detection of a random amplitude sinusoid by constrained least-squares technique", Signal Processing, vol. 45, no. 3, pp. 347-356, September 1995.
  121. O. Besson and F. Castanié, "On estimating the frequency of a sinusoid in autoregressive multiplicative noise", Signal Processing, vol 30, no. 1, pp. 65-83, January 1993.

 Unpublished reports, notes

  1. O. Besson, "A short overview of adaptive multichannel filters SNR loss analysis", March 2021.
  2. O. Besson, "Partially adaptive filtering using randomized projections", March 2022.
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