Abstract:This paper addresses the field of stereophonic acoustic echo cancelation (SAEC) by adaptive filtering algorithms. Recently, simplified versions of the fast transversal filter (SFTF)-type algorithm has been proposed. In this paper, we propose two major contributions. In the first contribution, we propose two new FTF-type algorithms with low complexity and good convergence speed characteristics. These two proposed algorithms are mainly on the basis of a forward prediction scheme to estimate the so called dual Ka… Show more
“…Longchen Li [17] proposed a control strategy optimization method based on Genetic Algorithm (Genetic Algorithm-GA), using Genetic Algorithm as a strategy optimization tool for vehicle ANC simulation model optimization and control strategy development. Mohamded Djendi [18] proposed a new fast transverse filtering algorithm with low complexity and good convergence speed based on the dual-Kalman filtering algorithm, and applied it to the field of stereo echo cancellation. Li Tan [19] proposed simplified diagonal structure bilinear filter-X least mean square algorithm and diagonal structure bilinear filter-X least mean square algorithm with channel reduction.…”
Section: Compared With Passive Noise Control Technology Active Noise ...mentioning
confidence: 99%
“…X WW (18) Therefore, the iterative formula of filter weight coefficient of FxLMS algorithm is expressed as: ( 1) ( ) ( ) ( )…”
Section: Classical Adaptive Active Noise Control Algorithmmentioning
In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles :(1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) On the basis of the traditional wire-narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.
“…Longchen Li [17] proposed a control strategy optimization method based on Genetic Algorithm (Genetic Algorithm-GA), using Genetic Algorithm as a strategy optimization tool for vehicle ANC simulation model optimization and control strategy development. Mohamded Djendi [18] proposed a new fast transverse filtering algorithm with low complexity and good convergence speed based on the dual-Kalman filtering algorithm, and applied it to the field of stereo echo cancellation. Li Tan [19] proposed simplified diagonal structure bilinear filter-X least mean square algorithm and diagonal structure bilinear filter-X least mean square algorithm with channel reduction.…”
Section: Compared With Passive Noise Control Technology Active Noise ...mentioning
confidence: 99%
“…X WW (18) Therefore, the iterative formula of filter weight coefficient of FxLMS algorithm is expressed as: ( 1) ( ) ( ) ( )…”
Section: Classical Adaptive Active Noise Control Algorithmmentioning
In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles :(1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) On the basis of the traditional wire-narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.
“…Li 17 proposed a control strategy optimization method based on Genetic Algorithm (Genetic Algorithm-GA), using Genetic Algorithm as a strategy optimization tool for vehicle ANC simulation model optimization and control strategy development. Mohamded 18 proposed a new fast transverse filtering algorithm with low complexity and good convergence speed on the basis of double Kalman filtering algorithm, and applied it in the field of stereo echo cancellation. Li 19 proposed a simplified diagonal structure bilinear filter-x least mean square algorithm and a diagonal structure bilinear filter-x least mean square algorithm.…”
In recent years, active noise reduction technology has become a research hotspot. However, most active noise reduction technologies are developed based on passenger vehicles and are not implemented in large commercial vehicles. The large commercial vehicle sound field space is large, the traditional active noise reduction method is difficult to implement. In order to explore this problem, this paper proposes an improved active noise control method for commercial vehicles: (1) based on the traditional notch filter, a notch FxLMS algorithm based on speed smoothing is proposed; (2) on the basis of the traditional wire–narrowband hybrid ANC algorithm, the reference signal weighting technology is introduced into the wide-band subsystem, and the notch FxLMS algorithm based on speed smoothing is used as the narrowband subsystem, so as to propose an improved wire-narrowband hybrid ANC algorithm. With the help of MATLAB, the simulation model of the designed algorithm is established, and the collected commercial vehicle test noise data is used as the reference signal to simulate and verify the proposed algorithm. The results show that the proposed method has certain practicability.
“…Several conventional adaptive techniques assume that the problem to be resolved is based on linear form [3,4], and this assumption, that is not true in practice, reduces the efficiency of the adaptive approach to accomplish and limits the optimal solutions that can be achieved [5,6]. The most popular adaptive filtering algorithms like the least mean square (LMS) and the normalized LMS (NLMS) algorithms are robust and have a low computational complexity [7,8]. The adaptive filters updates of LMS and NLMS algorithms are directly controlled by the input vector [9,10].…”
This paper addresses the problem of speech enhancement and acoustic noise reduction by partial and set-membership adaptive algorithms combined with the symmetric decorrelating adaptive (SAD) algorithm structure. In this paper, we propose two new adaptive algorithms based on set-membership principle that improve the original set-membership algorithm behavior in speech enhancement applications. The first proposed algorithm (called Proposed 1), is based on the combination of the SAD algorithm structure with a smart control that uses decorrelating properties between the output and the mixing signal to control and update the SAD adaptive filters. The second proposed algorithm (called Proposed 2) is a modification of Proposed 1 and based on a new regularization relations of the SAD adaptive filters that use a combination between the variance of the mixing and the output signals of the SAD structures. These two proposed algorithms (Proposed 1 and Proposed 2) aim to improve the convergence speed performance and the output signal-tonoise-ratio of the original SAD algorithm when no smart control of the adaptive filters is used. The proposed algorithms have very interesting properties with non-stationary signal like speech when the SAD algorithm is, used alone, fails. The simulation results that are obtained by the comparison between the proposed algorithms (Proposed 1 and Proposed 2) and the original two-channel set-membership NLMS algorithm have shown the best performances of Proposed 1 and Proposed 2 in terms of the following criteria: systems mismatch, segmental SNR and segmental men square error.
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