Results 31 to 40 of about 146,305 (262)
Compressed matched filter for non-Gaussian noise [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We consider estimation of a deterministic unknown parameter vector in a linear model with non-Gaussian noise. In the Gaussian case, dimensionality reduction via a linear matched filter provides a simple low dimensional sufficient statistic which can be easily communicated and/or stored for future inference.
Jakob Vovnoboy, Ami Wiesel
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Underwater surveillance in non-Gaussian noisy environment
Measurement + Control, 2020 The aim of this paper is to evaluate the performance of different filtering algorithms in the presence of non-Gaussian noise environment for tracking underwater targets, using Doppler frequency and bearing measurements.
B Omkar Lakshmi Jagan, S Koteswara Rao
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Phase tracking for sub-shot-noise-limited receivers
Physical Review Research, 2020 Nonconventional receivers for phase-coherent states based on non-Gaussian measurements such as photon counting surpass the sensitivity limits of shot-noise-limited coherent receivers, the quantum noise limit (QNL). These non-Gaussian receivers can have a
M. T. DiMario, F. E. Becerra
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Detection in Non-Gaussian Noises [PDF]
The 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,
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Patch similarity under non Gaussian noise [PDF]
2011 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
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IEEE AccessThe 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 ...
Qing Dai +3 more
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Journal of Marine Science and Engineering, 2022 Robust nonlinear filtering is an important method for tracking maneuvering targets in non-Gaussian noise environments. Although there are many robust filters for nonlinear systems, few of them have ideal performance for mixed Gaussian noise and non ...
Tianjing Wang, Lanyong Zhang, Sheng Liu
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Stochastic Resonance in a special type of Asymmetric Nonlinear System Driven by Correlated Noise
四川大学学报. 自然科学版, 2020 We have analyzed the phenomenon of stochastic resonance in an asymmetric bistable system driven by multiplicative non-Gaussian noise and additive Gaussian noise.
FAN Ze-Ning +4 more
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Non-Gaussian noise induced stochastic resonance in FitzHugh–Nagumo neural system with time delay
AIP Advances, 2020 In this paper, non-Gaussian noise induced stochastic resonance for the FitzHugh–Nagumo neural system with a time delay is investigated. Through the path integral method, the non-Gaussian noise is approximated as a colored noise, and according to the ...
Shenghong Li, Jiwei Huang
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On the Role of Non-Gaussian Noises on Noise-Induced Phenomena [PDF]
, 2004 Most of the studies of noise-induced phenomena assume that the noise source is Gaussian (either white or colored). Here we present recent results of some of those noise-induced phenomena when driven by a noise source taken as colored and non-Gaussian, generated by a nonextensive g-distribution.
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