Results 21 to 30 of about 146,305 (262)
Effect of non-Gaussian coloured noise on ambient energy harvesting
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 ...
Shrabani Mondal, Santanu Koley
doaj +1 more source
The highest rate at which information may be reliably sent via a communication link is known as its capacity. In the case of non-Gaussian noise, the capacity of the channel depends on the specific characteristics of the noise, which can cause severe ...
Ghanim A. Al-Rubaye +2 more
doaj +1 more source
Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise
Likelihood analysis is typically limited to normally distributed noise due to the difficulty of determining the probability density function of complex, high-dimensional, non-Gaussian, and anisotropic noise.
Ronan Legin +3 more
doaj +1 more source
BackgroundOccupational noise-induced hearing loss (NIHL) is one of the most prevalent occupational diseases in the world. With the development of industry, noise sources in the workplace have become increasingly complex.ObjectiveTo apply kurtosis ...
Jiarui XIN +7 more
doaj +1 more source
Non-Gaussian impulsive noise in marine environments strongly influences the detection of weak spectral lines. However, existing detection algorithms based on the Gaussian noise model are futile under non-Gaussian impulsive noise.
Zhen Li, Junyuan Guo, Xiaohan Wang
doaj +1 more source
Mechanical signals are not only disturbed by Gaussian noise, but also by non-Gaussian noise. These Gaussian noise and non-Gaussian noise have gravely impeded detecting of rolling bearing defects using traditional methods.
Yonghua Jiang +5 more
doaj +1 more source
Channel-noise tracking for sub-shot-noise-limited receivers with neural networks
Non-Gaussian receivers for optical communication with coherent states can achieve measurement sensitivities beyond the limits of conventional detection, given by the quantum-noise limit (QNL).
M. T. DiMario, F. E. Becerra
doaj +1 more source
Non-Gaussianity of Stochastic Gradient Noise
What enables Stochastic Gradient Descent (SGD) to achieve better generalization than Gradient Descent (GD) in Neural Network training? This question has attracted much attention. In this paper, we study the distribution of the Stochastic Gradient Noise (SGN) vectors during the training. We observe that for batch sizes 256 and above, the distribution is
Abhishek Panigrahi +3 more
openaire +2 more sources
Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]
This paper aims to investigate the impact of non-Gaussian measurement noise on state estimation (SE) results in distribution systems. To this end, the measurement noise is assumed to be distributed according to Gaussian or one of the following ...
Čubonović Stefan +2 more
doaj +1 more source
Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory
Target tracking plays an important role in the construction, operation, and maintenance of the space station by the robot, which puts forward high requirements on the accuracy of target tracking.
Yang Mo +5 more
doaj +1 more source

