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Improved Approximate QR-LS Algorithms for Adaptive Filtering
2004
IEEE transactions on circuits and systems - 2, Analog and digital signal processing
This paper studies a class of ( ) approximate QR-based least squares (A-QR-LS) algorithm recently proposed by Liu in 1995. It is shown that the A-QR-LS algorithm is equivalent to a normalized LMS algorithm with time-varying stepsizes and element-wise normalization of the input signal vector. It reduces to the QR-LMS algorithm proposed by Liu et al. in 1998, when all the normalization constants are chosen as the Euclidean norm of the input signal vector. An improved transform-domain approximate
doi:10.1109/tcsii.2003.821514
fatcat:ubpkdk6rzbhahlpmglon7gcd6e