Results 21 to 30 of about 701,584 (283)

Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with Non-Gaussian Noise

open access: yesThe Astrophysical Journal Letters, 2023
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

Applying kurtosis-adjusted cumulative noise exposure to assess occupational hearing loss among furniture manufacturing workers

open access: yes环境与职业医学, 2022
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

Lifting primordial non-Gaussianity above the noise [PDF]

open access: yesJournal of Cosmology and Astroparticle Physics, 2016
21 pages + appendices, 10 figures, 3 ...
Welling, Y.M.   +2 more
openaire   +4 more sources

Joint Detection and Reconstruction of Weak Spectral Lines under Non-Gaussian Impulsive Noise with Deep Learning

open access: yesRemote Sensing, 2023
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

A Novel Rolling Bearing Defect Detection Method Based on Bispectrum Analysis and Cloud Model-Improved EEMD

open access: yesIEEE Access, 2020
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

Patch similarity under non Gaussian noise [PDF]

open access: yes2011 18th IEEE International Conference on Image Processing, 2011
Many tasks in computer vision require to match image parts. While higher-level methods consider image features such as edges or robust descriptors, low-level approaches compare groups of pixels (patches) and provide dense matching. Patch similarity is a key ingredient to many techniques for image registration, stereo-vision, change detection or ...
Charles-Alban Deledalle   +2 more
openaire   +1 more source

Channel-noise tracking for sub-shot-noise-limited receivers with neural networks

open access: yesPhysical Review Research, 2021
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

Detection in Non-Gaussian Noises [PDF]

open access: yesThe Journal of the Acoustical Society of America, 1970
Stimulus-oriented theories of signal detection are based upon an analysis of the detailed statistical character of the stimulus. When the background for detection is band-limited white Gaussian noise, predictions of human performance by these models are generally good. Since the synchronous random telegraph wave and tones, frequency modulated by noise,
openaire   +1 more source

The Dispersion of Nearest-Neighbor Decoding for Additive Non-Gaussian Channels [PDF]

open access: yes, 2016
We study the second-order asymptotics of information transmission using random Gaussian codebooks and nearest neighbor (NN) decoding over a power-limited stationary memoryless additive non-Gaussian noise channel.
Durisi, Giuseppe   +2 more
core   +2 more sources

Impact of the non-Gaussian measurement noise on the performance of state-of-the-art state estimators for distribution systems [PDF]

open access: yesSerbian Journal of Electrical Engineering
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

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