Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Guan, Sihai"'
In this paper, a family of novel diffusion adaptive estimation algorithm is proposed from the asymmetric cost function perspective by combining diffusion strategy and the linear-linear cost (LLC), quadratic-quadratic cost (QQC), and linear-exponentia
Externí odkaz:
http://arxiv.org/abs/2107.03067
In this paper, a novel diffusion estimation algorithm is proposed from a probabilistic perspective by combining diffusion strategy and the probabilistic least-mean-squares (PLMS) at all agents. The proposed method diffusion probabilistic LMS (DPLMS)
Externí odkaz:
http://arxiv.org/abs/1908.09730
There is a need to improve the capability of the adaptive filtering algorithm against Gaussian or multiple types of non-Gaussian noises, time-varying system, and systems with low SNR. In this paper, we propose an optimized least mean absolute fourth
Externí odkaz:
http://arxiv.org/abs/1908.08165
Publikováno v:
In Journal of Automation and Intelligence May 2023 2(2):105-117
Autor:
Guan, Sihai, Biswal, Bharat
Publikováno v:
In Journal of Automation and Intelligence February 2023 2(1):1-13
Autor:
Guan, Sihai, Li, Zhi
The learning speed of an adaptive algorithm can be improved by properly constraining the cost function of the adaptive algorithm. Besides, the stabilization of the NCLMF algorithm is more complicated, whose stability depends solely on the input power
Externí odkaz:
http://arxiv.org/abs/1805.01305
Autor:
Guan, Sihai, Li, Zhi
In order to decrease the steady-state error and reduce the computational complexity and increase the ability to identify a large unknown system, a convex combination of overlap-save frequency-domain adaptive filters (COSFDAF) algorithm is proposed. F
Externí odkaz:
http://arxiv.org/abs/1805.01307
Publikováno v:
In Procedia Computer Science 2022 199:1466-1473
Publikováno v:
In Procedia Computer Science 2022 199:26-33
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