Zobrazeno 1 - 10
of 1 833
pro vyhledávání: '"NON-GAUSSIAN NOISE"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-30 (2024)
Abstract We address the issue of detecting hidden periodicity when the signal exhibits periodic correlation, but is additionally affected by non-Gaussian noise with unknown characteristics. This scenario is common in various applications. The convent
Externí odkaz:
https://doaj.org/article/c1ff8441b206436687f9aad4574e9b6d
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-15 (2024)
Abstract Background Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse
Externí odkaz:
https://doaj.org/article/ffb2d328badb4e6abdef5818e20de9ae
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 158, Iss , Pp 109948- (2024)
The Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is not always true in practice because of abnormal system inputs, impulsive noise and measurement outliers. In this paper, a new robust DSE approach based on a
Externí odkaz:
https://doaj.org/article/004e11b7a7e344abb445e38c985b63f4
Autor:
Hager S. Fouda, Mostafa M. Fouda
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 7041-7056 (2024)
Statistical tests-based approaches have been extensively researched for multiple antenna-based spectrum sensing (SS) in cognitive radio (CR). Nevertheless, their performance is neither satisfactory nor adequate to detect the primary user (PU) particu
Externí odkaz:
https://doaj.org/article/a45f81a17afb4d02892ebf19601a9a37
Publikováno v:
IEEE Access, Vol 12, Pp 73279-73291 (2024)
The Gaussian sum extended Kalman filter (GSEKF), as a nonlinear non-Gaussian filter, disregards the impact of colored noise components in non-Gaussian noise engendered by external interference, which may compromise the estimation accuracy in global n
Externí odkaz:
https://doaj.org/article/b6fd2e131335431e990bff9b4d31d699
Autor:
Shoupeng Li, Weiwei Liu
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4384 (2024)
The non-redescending convex functions degrade the filtering robustness, whereas the redescending non-convex functions improve filtering robustness, but they tend to converge towards local minima. This work investigates the properties of convex and no
Externí odkaz:
https://doaj.org/article/d45f9c991e5e4e7aa149486f9b26a56c
Publikováno v:
Sensors, Vol 24, Iss 22, p 7164 (2024)
Gyros/star sensor integration provides a potential method to obtain high-accuracy spatial orientation for turntable structures. However, it is subjected to the problem of accuracy loss when the measurement noises become non-Gaussian due to the comple
Externí odkaz:
https://doaj.org/article/e24aefdae37148c48ae1c276cb546d73
Autor:
Shrabani Mondal, Santanu Koley
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 131-135 (2023)
Using nonlinear stochastic dynamics, the impact of non-Gaussian noise is investigated for vibration to electric energy conversion schemes. For the purpose of utilizing noise in energy harvesting, which offers helpful tips for the development of micro
Externí odkaz:
https://doaj.org/article/f0047d5da4104974a3cb94d9be196d26
Autor:
Wanyang Dai
Publikováno v:
Mathematics, Vol 12, Iss 18, p 2891 (2024)
We establish a relationship between stochastic differential games (SDGs) and a unified forward–backward coupled stochastic partial differential equation (SPDE) with discontinuous Lévy Jumps. The SDGs have q players and are driven by a general-dime
Externí odkaz:
https://doaj.org/article/88009a0fda43471980997317b74cedda
Phasor Measurement Unit-Driven Estimation of Transmission Line Parameters Using Variable Noise Model
Autor:
Felipe Proença de Albuquerque, Rafael Nascimento, Carlos A. Prete, Eduardo Coelho Marques da Costa
Publikováno v:
Energies, Vol 17, Iss 14, p 3587 (2024)
Accurate parameters are crucial in modern energy systems to ensure the reliable operation of all components. Given the substantial volume of data in monitored systems, high-performance methods are necessary. This paper proposes a new Bayesian multi-o
Externí odkaz:
https://doaj.org/article/4c0aba95bce9401cbbf8f61a3f44dfac