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M. Rupp, F. Hausberg:
"LMS Algorithmic Variants in Active Noise and Vibration Control";
Vortrag: 22nd European Signal Processing Conference (EUSIPCO), Lisboa; 01.09.2014 - 05.09.2014; in: "Proceedings of Eurasip Conference", IEEE, (2014), S. 691 - 695.

In this article we provide analyses of two low complexity
LMS algorithmic variants as they typically appear in the context
of FXLMS for active noise or vibration control in which
the reference signal is not obtained by sensors but internally
generated by the known engine speed. In particular we show
that the algorithm with real valued error is robust and exhibits
the same steady state quality as the original complex-valued
LMS algorithm but at the expense of only achieving half the
learning speed while its counterpart with real-valued regression
vector behaves only equivalently in the statistical sense.

In this article we provide analyses of two low complexity
LMS algorithmic variants as they typically appear in the context
of FXLMS for active noise or vibration control in which
the reference signal is not obtained by sensors but internally
generated by the known engine speed. In particular we show
that the algorithm with real valued error is robust and exhibits
the same steady state quality as the original complex-valued
LMS algorithm but at the expense of only achieving half the
learning speed while its counterpart with real-valued regression
vector behaves only equivalently in the statistical sense.

FxLMS, Robustness

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6952217