Results 21 to 30 of about 833,530 (282)
Gaussian Distributed Noise Generator Design Using MCU-STM32
The random noise signal is widely used as a test signal to identify a physical or biological system. In particular, the Gaussian distributed white noise signal (Gaussian White Noise) is popularly used to simulate environmental noise in telecommunications
M. Nanak Zakaria +3 more
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Nonlinear Gaussian Filter with Multi-Step Colored Noise
Color noise is a special kind of noise often occurring in localization systems, and it is more suitable than the general Gaussian white noise to model time dependence due to time delay or high-frequency sampling.
Yidi Teng, Shouzhao Sheng, Yubin Zheng
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Robust Radio Interferometric Calibration Using the t-Distribution [PDF]
A major stage of radio interferometric data processing is calibration or the estimation of systematic errors in the data and the correction for such errors.
Kazemi, S., Yatawatta, S.
core +3 more sources
Random Weighting-Based Nonlinear Gaussian Filtering
The Gaussian filtering is a commonly used method for nonlinear system state estimation. However, this method requires both system process noise and measurement noise to be white noise sequences with known statistical characteristics.
Zhaohui Gao +4 more
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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
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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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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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Singular Vector Perturbation Under Gaussian Noise [PDF]
We perform a non-asymptotic analysis on the singular vector distribution under Gaussian noise. In particular, we provide sufficient conditions on a matrix for its first few singular vectors to have near normal distribution. Our result can be used to facilitate the error analysis in linear dimension reduction.
openaire +3 more sources
White Noise Representation of Gaussian Random Fields [PDF]
We obtain a representation theorem for Banach space valued Gaussian random variables as integrals against a white noise. As a corollary we obtain necessary and sufficient conditions for the existence of a white noise representation for a Gaussian random ...
Gelbaum, Zachary
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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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