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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
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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
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Lifting primordial non-Gaussianity above the noise [PDF]
21 pages + appendices, 10 figures, 3 ...
Welling, Y.M. +2 more
openaire +4 more sources
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
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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
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Patch similarity under non Gaussian noise [PDF]
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
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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
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Detection in Non-Gaussian Noises [PDF]
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]
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]
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
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