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PubMed · 12449145

[A modified least mean square (LMS) algorithm with variable step-size for an adaptive noise canceller].

Hui Gao·Cong-min Niu·Wei Wu
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Abstract

Objective. To study a modified Least Mean [correction of Mear] Square (LMS) algorithm that can be applied in aerospace and aviation fields. Method. A modified LMS algorithm was proposed and step-size was calculated by estimated signal noise ratio (SNR) of input signal. Parameters of filter were adjusted automatically until optimal estimation of disturbed speech was obtained. Result. Output SNR of estimated speech was increased respectively to 18.2 dB, 22.1 dB and 25.2 dB, when input SNR of disturbed speech was -6 dB, 0 dB, 6 dB. Conclusion. The performance of the modified algorithm has obvious advantages over that of NLMS algorithm. The results may be advantageous to related application of adaptive noise canceller (ANC) in aerospace and aviation fields.

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AcousticsAlgorithmsEquipment DesignHumansLeast-Squares AnalysisModels, TheoreticalNoiseSignal Processing, Computer-AssistedSpeechSpeech PerceptionComparative StudyEnglish AbstractJournal Article

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Hui Gao, Cong-min Niu, Wei Wu. 2002. [A modified least mean square (LMS) algorithm with variable step-size for an adaptive noise canceller].. https://pubmed.ncbi.nlm.nih.gov/12449145/

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