Convergence analysis of the sign algorithm with badly behaved noise
Signal Processing
Handbook of Networked and Embedded Control Systems (Control Engineering)
Handbook of Networked and Embedded Control Systems (Control Engineering)
Theoretical convergence analysis of FxLMS algorithm
Signal Processing
Adaptive cancellation of geomagnetic background noise using a sign-error normalized LMS algorithm
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: digital speech processing - Volume III
Stochastic gradient adaptation under general error criteria
IEEE Transactions on Signal Processing
Convergence analysis of adaptive filtering algorithms with singulardata covariance matrix
IEEE Transactions on Signal Processing
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This paper introduces a new, adaptive-filter-based controller that shows advantageous properties from the viewpoint of its communication requirement. The algorithm is called signed-error filtered-x LMS (SE-FxLMS). Its novelty is characterized by the fact that it makes possible data compression in the feedback path of adaptive-filter-based control loops in a very simple way. This feature is especially useful in such closed-loop systems where the feedback signals are transmitted over a low-bandwidth communication channel. This is a typical case in so-called networked control systems (NCS), where the communication is carried out over a shared communication channel, e.g., using a wireless sensor network. The paper introduces an analysis of the algorithm as well.