2014
DOI: 10.1002/acs.2470
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New efficient adaptive fast transversal filtering (FTF)‐type algorithms for mono and stereophonic acoustic echo cancelation

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

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Cited by 14 publications
(4 citation statements)
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References 47 publications
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“…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%
See 1 more Smart Citation
“…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
confidence: 99%
“…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.…”
Section: Introductionmentioning
confidence: 99%
“…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].…”
Section: Introductionmentioning
confidence: 99%