Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Mehdi Bekrani"'
Autor:
Mehdi Bekrani, Hadi Zayyani
Publikováno v:
IEEE Access, Vol 12, Pp 10059-10068 (2024)
The family of least mean square (LMS) based adaptive filtering algorithms suffers from convergence performance limitation due to the sensitivity of such algorithms to the eigenvalue spread of the input correlation matrix. The quasi-Newton family of a
Externí odkaz:
https://doaj.org/article/b3c365d4a0b446d191ad500d29ce1faf
Publikováno v:
International Journal of Industrial Electronics, Control and Optimization, Vol 3, Iss 2, Pp 159-171 (2020)
In this paper, a new adaptive control method is proposed for direct matrix converters. The proposed method uses interval type-2 fuzzy logic integrated with sliding mode control. Employing the sliding mode control in matrix converters leads to an effi
Externí odkaz:
https://doaj.org/article/a9ef854d14254e508fecda39d41db615
Autor:
mehdi bekrani
Publikováno v:
مجله مدل سازی در مهندسی, Vol 17, Iss 58, Pp 171-186 (2019)
One of the most important challenges for the adaptive filtering is the slow convergence rate of adaptive algorithm against highly correlated input signals. The affine projection adaptive algorithm (APA) is an extension of the well-known normalized le
Externí odkaz:
https://doaj.org/article/71fb714b7fe94997a7039dc8ebeb0804
Autor:
Mehdi Bekrani, Hadi Zayyani
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 8, Iss 3, Pp 7-14 (2016)
This paper presents a new Proportionate Normalized Least Mean Square (PNLMS) adaptive algorithm using a soft maximum operator for sparse system identification. To provide a high rate of convergence, soft maximum operator is employed along with a weig
Externí odkaz:
https://doaj.org/article/155ce80766fd4a2a9ec69402f871683e
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. :1-1
Autor:
Mehdi Bekrani, Mojtaba Lotfizad
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 1, Iss 1, Pp 29-37 (2009)
Stereophonic acoustic echo cancellers are being used in high quality audio communication systems to reduce the echoes that arise from coupling between the loudspeakers and microphones. These echo cancellers have problems more severe than their monoph
Externí odkaz:
https://doaj.org/article/0e3e90dfc8c8495080bf2ba47bb6a273
Publikováno v:
ICASSP
Virtual microphone beamforming techniques are attractive for devices limited by space constraints. These techniques synthesize virtual microphone signals via interpolation algorithms. We propose to extend existing virtual microphone signal interpolat
Publikováno v:
IET Signal Processing. 13:103-111
In this study, a modification to the affine projection adaptive filtering algorithm is proposed which is based on a three-level clipping of the input signal as applied to the weight update process. This clipping operation causes the input signal to b
Autor:
Andy W. H. Khong, Mehdi Bekrani
Publikováno v:
2020 28th Iranian Conference on Electrical Engineering (ICEE).
In sparse system identification applications such as acoustic and underwater communication, the convergence performance of conventional normalized least-mean-square (NLMS) adaptive filter is degraded due to the sparse nature of the unknown channels a
Autor:
Mojtaba Lotfizad, Mehdi Bekrani
Publikováno v:
Circuits, Systems, and Signal Processing. 34:1655-1682
The high computational load of conventional adaptive FIR filters applied to long system identification and their weak tracking ability has encouraged researchers to seek for efficient adaptive algorithms for this kind of applications. One of the effi