B. Widrow, P. Mantey, L. Griffiths, and B. Goode, Adaptive antenna systems, Proceedings of the IEEE, pp.2143-2159, 1967.

B. Widrow, J. Mccool, and M. Ball, The complex LMS algorithm, Proceedings of the IEEE, pp.719-720, 1975.
DOI : 10.1109/PROC.1975.9807

S. Boll and D. Pulsipher, Suppression of acoustic noise in speech using two microphone adaptive noise cancellation, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.28, issue.6, pp.752-753, 1980.
DOI : 10.1109/TASSP.1980.1163472

A. Mader, H. Puder, and G. U. Schmidt, Step-size control for acoustic echo cancellation filters ??? an overview, Signal Processing, vol.80, issue.9, pp.1697-1719, 2000.
DOI : 10.1016/S0165-1684(00)00082-7

R. Gerzaguet, L. Ros, F. Belveze, and J. Brossier, On the performance of digital adaptive spur cancellation for multi-standard radio frequency transceivers, Digital Signal Processing, vol.33, pp.83-97, 2014.
DOI : 10.1016/j.dsp.2014.07.006

URL : https://hal.archives-ouvertes.fr/hal-01057201

S. Qureshi, Adaptive equalization, Proceedings of the IEEE, pp.1349-1387, 1985.

B. Geller, V. Capellano, J. Brossier, A. Essebbar, and G. Jourdain, Equalizer for video rate transmission in multipath underwater communications, IEEE Journal of Oceanic Engineering, vol.21, issue.2, pp.150-155, 1996.
DOI : 10.1109/48.486790

URL : https://hal.archives-ouvertes.fr/hal-01626354

M. Morelli, L. Sanguinetti, and U. Mengali, Channel estimation for adaptive frequency-domain equalization, IEEE Transactions on Wireless Communications, vol.4, issue.5, pp.2508-2518, 2005.
DOI : 10.1109/TWC.2005.853896

M. Valkama, M. Renfors, and V. Koivunen, On the performance of interference canceller based I/Q imbalance compensation, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.2885-2888, 2000.
DOI : 10.1109/ICASSP.2000.861129

A. Frotzscher and G. Fettweis, A Stochastic Gradient LMS Algorithm for Digital Compensation of Tx Leakage in Zero-IF-Receivers, VTC Spring 2008, IEEE Vehicular Technology Conference, pp.1067-1071, 2008.
DOI : 10.1109/VETECS.2008.227

M. Time, L. Constant, V. Lms-muff-algorithm, and . Algorithm,

. Fig, Comparison of MSE for the MUFF algorithm and the different methods in the literature, with reconfiguration at the middle of the simulation

R. Gerzaguet, L. Ros, F. Belveze, and J. Brossier, Performance of a digital transmitter leakage LMS-based cancellation algorithm for multi-standard radio-frequency transceivers, Digital Signal Processing, vol.51, pp.35-46, 2016.
DOI : 10.1016/j.dsp.2016.01.009

URL : https://hal.archives-ouvertes.fr/hal-01289901

M. Hajivandi and W. Gardner, Measures of tracking performance for the LMS algorithm, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.38, issue.11, pp.1953-1958, 1990.
DOI : 10.1109/29.103096

P. Wei, J. Han, J. Zeidler, and W. Ku, Comparative tracking performance of the LMS and RLS algorithms for chirped narrowband signal recovery, IEEE Transactions on Signal Processing, vol.50, issue.7, pp.1602-1609, 2002.
DOI : 10.1109/TSP.2002.1011201

URL : http://zeidler.ucsd.edu/pubs/J46.pdf

N. Bershad and O. Macchi, Adaptive recovery of a chirped sinusoid in noise. II. Performance of the LMS algorithm, IEEE Transactions on Signal Processing, vol.39, issue.3, pp.595-602, 1991.
DOI : 10.1109/78.80879

O. Macchi, Adaptive Processing: The Least Mean Squares Approach with Applications in Transmission, 1995.

A. Benveniste and P. Metivier, Adaptive algorithms and stochastic approximations, 1991.
DOI : 10.1007/978-3-642-75894-2

R. Harris, D. Chabries, and F. Bishop, A variable step (VS) adaptive filter algorithm, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.34, issue.2, pp.309-316, 1986.
DOI : 10.1109/TASSP.1986.1164814

B. Farhang-boroujeny, Variable-step-size LMS algorithm: new developments and experiments, IEE Proceedings on Vision, Image and Signal Processing, pp.311-317, 1994.
DOI : 10.1049/ip-vis:19941425

R. Kwong and E. Johnston, A variable step size LMS algorithm, IEEE Transactions on Signal Processing, vol.40, issue.7, pp.1633-1642, 1992.
DOI : 10.1109/78.143435

S. Zhao, D. Jones, S. Khoo, and Z. Man, New Variable Step-Sizes Minimizing Mean-Square Deviation for the LMS-Type Algorithms, Circuits, Systems, and Signal Processing, vol.89, issue.7, pp.2251-2265, 2014.
DOI : 10.1109/TSP.2008.2007618

V. Mathews and Z. Xie, Stochastic gradient adaptive filters with gradient adaptive step sizes, Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp.1385-1388, 1990.
DOI : 10.1109/icassp.1990.115645

T. Aboulnasr and K. Mayyas, A robust variable step-size LMS-type algorithm: analysis and simulations, IEEE Transactions on Signal Processing, vol.45, issue.3, pp.631-639, 1997.
DOI : 10.1109/78.558478

Z. Ramadan and A. Poularikas, Performance analysis of a new variable step-size lms algorithm with error nonlinearities, Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the, pp.384-388, 2004.
DOI : 10.1109/SSST.2004.1295684

T. Yang and B. Shahrrava, Performance of variable step-size LMS algorithms for linear adaptive inverse control systems, Proc. Canadian Conference on Electrical and Computer Engineering, pp.755-758, 2005.

S. Gelfand, Y. Wei, and J. Krogmeier, The stability of variable step-size LMS algorithms, IEEE Transactions on Signal Processing, vol.47, issue.12, pp.3277-3288, 1999.
DOI : 10.1109/78.806072

S. Goh and D. Mandic, Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size, IEEE Transactions on Neural Networks, vol.18, issue.5, pp.1511-1516, 2007.
DOI : 10.1109/TNN.2007.895828

A. Wee-peng and B. Farhang-boroujeny, A new class of gradient adaptive step-size LMS algorithms, IEEE Transactions on Signal Processing, vol.49, issue.4, pp.805-810, 2001.
DOI : 10.1109/78.912925

S. Haykin, Adaptive filter theory, Krantz, Handbook of Complex Variables. Birkhäuser Basel, 1996.