Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Madjid Arezki"'
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811564024
In this paper, we introduce a Fast Normalized Least Mean square algorithm (FNLMS) to eliminate the acoustic echo in the presence of double talk signal. When the near-end speech is present the performance of the adaptive filtering is degraded, thus, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::404161e796d8bc73369463980a72a576
https://doi.org/10.1007/978-981-15-6403-1_90
https://doi.org/10.1007/978-981-15-6403-1_90
Publikováno v:
Applied Acoustics. 163:107210
In order to improve the performances of the Fast Normalized Least Mean Square type (FNLMS) adaptive filtering algorithm in the context of Acoustic Echo Cancellation (AEC), this work proposes an Improved Set Membership version by exploiting, firstly,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::135fc3742574afedf9633325e25690e1
https://doi.org/10.1016/j.apacoust.2020.107210
https://doi.org/10.1016/j.apacoust.2020.107210
Publikováno v:
2018 International Conference on Communications and Electrical Engineering (ICCEE).
In this communication, fast adaptive algorithms are suggested to enhance the performance of the Fast- Normalized Least Mean Square (FNLMS) algorithm in Acoustic Echo Cancellation (AEC) applications with a sparse system. We propose two new algorithms,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c34b20f4e075964d5fc2d122ae9749bc
https://doi.org/10.1109/ccee.2018.8634473
https://doi.org/10.1109/ccee.2018.8634473
Publikováno v:
2018 International Conference on Signal, Image, Vision and their Applications (SIVA).
This communication deals with the problem of Acoustic Echo Cancellation (AEC) by reduced complexity adaptive filtering algorithms. In this context, we propose to use the Set-Membership filtering concept with the Fast Normalized Least Mean Square Algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c56cbaf5b1b4449485d0e8c973ee32f
https://doi.org/10.1109/siva.2018.8661036
https://doi.org/10.1109/siva.2018.8661036
Autor:
Madjid Arezki, Ahmed Benallal
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 28:1073-1080
SUMMARY A new adaptive algorithm with fast convergence and low complexity is presented. By using the calculation structure of the dual Kalman variables of the fast transversal filter algorithm and a simple decorrelating technique for the input signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e921ef305d50907259c5e677d9a76b0
https://doi.org/10.1002/acs.2423
https://doi.org/10.1002/acs.2423
Publikováno v:
Journal of Computer Science. 5:347-354
Problem statement: In this study, we proposed a new algorithm M-SMFTF for adaptive filtering with fast convergence and low complexity. Approach: It was the result of a simplified FTF type algorithm, where the adaptation gain was obtained only from th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4673377a15392b335474c8fcc9fd68de
https://doi.org/10.3844/jcssp.2009.347.354
https://doi.org/10.3844/jcssp.2009.347.354
Publikováno v:
International Journal of Adaptive Control and Signal Processing. 21:354-374
This paper is concerned with adaptive noise reduction based on the fast recursive least squares (FRLS) algorithm. It is well known that the fast recursive least squares (FRLS) algorithm suffers from numerical instability when operating under the effe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f8e499b2202df5fa52b3780d69cd52
https://doi.org/10.1002/acs.926
https://doi.org/10.1002/acs.926
Publikováno v:
2009 16th International Conference on Systems, Signals and Image Processing.
In this paper, we propose a new algorithm for adaptive filtering with fast convergence and low complexity. It is the result of a simplified fast transversal filter type algorithm, where the adaptation gain is obtained only from the forward prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f8ef9d1fe10950ff0f01935d12e3542
https://doi.org/10.1109/iwssip.2009.5367738
https://doi.org/10.1109/iwssip.2009.5367738
Publikováno v:
2006 IEEE International Conference on Industrial Technology.
In this paper, we present a detailed study of the perfectly predictable signals in the case of pure sinusoids, in order to determine the cause of instability of the fast recursive least squares (FRLS) algorithms with speech signal. To avoid instabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbffb2809490997bb1079cc15d0fea71
https://doi.org/10.1109/icit.2006.372265
https://doi.org/10.1109/icit.2006.372265
Publikováno v:
2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..
In non-destructive testing (NDT) field, noise suppression, or denoising is a permanent topic. In general, the NDT signal shows transient characteristics and the defect component varies in time. The conventional methods, such as Fourier analysis and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff9e66eba0b1f3563a2af1afbcc7247e
https://doi.org/10.1109/icit.2004.1490771
https://doi.org/10.1109/icit.2004.1490771