The complex LMS algorithm

Widrow, Bernard; McCool, J.M.; Ball, Michael O.

doi:10.1109/proc.1975.9807

Cited by 610 publications

(221 citation statements)

References 6 publications

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“…The process of separation begins by applying adaptive noise cancellation (ANC), the fundamentals of this method have been detailed, and the general layout of the ANC algorithm is shown in Figure 1 [27,33]. In application of the self-adaptive Least Mean Square (LMS) algorithm the reference signal in the application of ANC algorithm is replaced by a delayed version of the input signal.…”

Section: Adaptive Filtermentioning

confidence: 99%

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A Comparative Study of the Effectiveness of Adaptive Filter Algorithms, Spectral Kurtosis and Linear Prediction in Detection of a Naturally Degraded Bearing in a Gearbox

Elasha

Ruiz-Cárcel

David

et al. 2014

J Fail. Anal. and Preven.

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Section: Adaptive Filtermentioning

confidence: 99%

“…The objective of the LMS algorithm is to optimize filter parameters and minimize prediction error, the prediction error is estimated according by [33]:…”

Section: Lms Algorithmmentioning

confidence: 99%

A Comparative Study of the Effectiveness of Adaptive Filter Algorithms, Spectral Kurtosis and Linear Prediction in Detection of a Naturally Degraded Bearing in a Gearbox

Elasha

Ruiz-Cárcel

David

et al. 2014

J Fail. Anal. and Preven.

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“…for 1 ≤ m ≤ M , where I denotes the LnF × LnF identity matrix and C |i the ith column of C. An adaptive implementation of the MMSE solution can readily be realised using the LMS algorithm [16]- [18] (13) where µ is the step size.…”

Section: A Minimum Mean Square Error Designmentioning

confidence: 99%

Adaptive space-time equalisation for multiple-antenna assisted multiple-input multiple-output systems

Livingstone

Chen

2005

2nd IEE/EURASIP Conference on DSPenabledRadio

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This paper investigates an adaptive space-time equalisation (STE) assisted multiuser detection scheme for multiple-antenna aided multiuser systems. A minimum bit error rate (MBER) design is compared with the standard minimum mean square error (MMSE) design. It is shown that the MBER design provides significant performance enhancement, in terms of achievable system bit error rate, over the MMSE design for the multiple-antenna assisted multiple-input multiple-output communication scenario. Adaptive implementation of the MBER STE is realised using a stochastic gradient based least bit error rate algorithm, which is demonstrated to consistently outperform the adaptive least mean square based STE.

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“…One approach to increase the convergence rate is to use NLMS and RLS adaptive algorithm. But RLS demand higher storage requirements and the computational intensive over LMS.A very serious problem associated with LMS and NLMS is the choice of step-size parameter that is a trade-off between steady state misadjustment and the speed of convergence [3].…”

Section: Introductionmentioning

confidence: 99%

Optimized Variable Step Size Normalized LMS Adaptive Algorithm for Echo Cancellation

Kosale¹

2015

IJRITCC

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Abstract-The echo cancallation is rapidly becoming a variable alternative to the conventional method of echo suppression. Echo cancallation using an adaptive filtering algorithm to model the echo path becouse impulse reponse is highly time varing and compute the replica of the echo component present in the speech signal. This research paper, we present the new optimized variable step size normalized least means sqaure algorithmin the context of acoustic echo cancellation. This new algorithm is design in such a way that the step size adjustment is controlled by using the suqaure of the means sqaure error and gives the unique minima of weight vector. New algorithm is suitable for real world application as compared to the old conventional adaptive algorithm.

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The complex LMS algorithm

Cited by 610 publications

References 6 publications

A Comparative Study of the Effectiveness of Adaptive Filter Algorithms, Spectral Kurtosis and Linear Prediction in Detection of a Naturally Degraded Bearing in a Gearbox

A Comparative Study of the Effectiveness of Adaptive Filter Algorithms, Spectral Kurtosis and Linear Prediction in Detection of a Naturally Degraded Bearing in a Gearbox

Adaptive space-time equalisation for multiple-antenna assisted multiple-input multiple-output systems

Optimized Variable Step Size Normalized LMS Adaptive Algorithm for Echo Cancellation

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