title: [A modified least mean square (LMS) algorithm with variable step-size for an adaptive noise canceller].
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.
authors.affiliation: Institute of Space Medico-Engineering, Beijing, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Gao
authors.forename: Cong-min
authors.initials: CM
authors.lastname: Niu
authors.forename: Wei
authors.initials: W
authors.lastname: Wu
mesh_terms: D000162:Acoustics; D000465:Algorithms; D004867:Equipment Design; D006801:Humans; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D009622:Noise / Q000517:prevention & control*; D012815:Signal Processing, Computer-Assisted; D013060:Speech; D013067:Speech Perception