Spectrum sensing based on maximum generalized correntropy under symmetric alpha stable noise
In this correspondence paper, we address the spectrum sensing problem under the non-
Gaussian noise scenario characterized by the symmetric alpha stable (SαS) model. In this …
Gaussian noise scenario characterized by the symmetric alpha stable (SαS) model. In this …
Modeling and simulations of a three-dimensional ghost imaging method with differential correlation sampling
B Liu, P Song, Y Zhai, X Wang, W Zhang - Optics Express, 2021 - opg.optica.org
The quality of depth maps acquired by a time-of-flight three-dimensional ghost imaging
(3DGI) system is limited by dynamic ambient light and electrical noise. We developed a …
(3DGI) system is limited by dynamic ambient light and electrical noise. We developed a …
α 噪声下基于随机共振的最大相关熵频谱感知.
李如雪， 鲁进， 罗聪 - … of Data Acquisition & Processing/Shu …, 2023 - search.ebscohost.com
α 噪声下的频谱感知成为近年来的研究热点, 该噪声的统计模型具有明显的脉冲性和拖尾性,
并且在微弱信号条件下, 信号特征不够明显. 为此提出了基于随机共振的最大相关熵频谱感知 …
并且在微弱信号条件下, 信号特征不够明显. 为此提出了基于随机共振的最大相关熵频谱感知 …
Logarithmic similarity measure based cooperative spectrum sensing under impulsive noise
W Zhang, C Zhang, G An, J Li - Progress In Electromagnetics Research C, 2020 - jpier.org
Spectrum sensing is one of the key functionalities in cognitive radios which enables
opportunistic spectrum access. In this paper, a cooperative spectrum sensing (CSS) …
opportunistic spectrum access. In this paper, a cooperative spectrum sensing (CSS) …
Improved sparsity‐aware NSAF‐SF adaptive algorithm
PPS Xavier, DB Haddad, F de Oliveira… - Electronics …, 2020 - Wiley Online Library
Normalised subband adaptive filtering algorithms have attracted attention due to their ability
to present faster convergence in the case of coloured excitation data. The NSAF‐SF scheme …
to present faster convergence in the case of coloured excitation data. The NSAF‐SF scheme …