Results 71 to 80 of about 844,799 (232)
Channel Estimation Using Linear Regression with Bernoulli–Gaussian Noise
Applied SciencesThis study introduces a novel mathematical framework for a machine learning algorithm tailored to address linear regression problems in the presence of non-Gaussian estimation noise.
Prerna Chaudhary +3 more
doaj +1 more source
Hybrid Denoising Algorithm Combining Median Filtering with Sparse Representation [PDF]
Jisuanji gongcheng, 2016 As current algorithm cannot effectively remove Gaussian and salt-pepper hybrid noise,this paper proposes a hybrid denosing algorithm combining Adaptive Median Filtering(AMF) with improved sparse representation.It uses the AMF to realize initialization ...
ZHANG Jianming,LI Pei,LI Xudong,WU Honglin
doaj +1 more source
A lower bound on the data rate of dirty paper coding in general noise and interference
, 2014 Dirty paper coding (DPC) allows a transmitter to send information to a receiver in the presence of interference that is known (non-causally) to the transmitter. The original version of DPC was derived for the case where the noise and the interference are
Bergel, Itsik +2 more
core +1 more source
Generalized Maximum Correntropy Kalman Filter for Target Tracking in TianGong-2 Space Laboratory
Space: Science & Technology, 2022 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
Decoherence due to telegraph and 1/f noise in Josephson qubits
, 2004 We study decoherence due to random telegraph and 1/f noise in Josephson qubits. We illustrate differences between gaussian and non gaussian effects at different working points and for different protocols.
D'Arrigo, A. +3 more
core +1 more source
Fractional Gaussian Noise: Projections, Prediction, Norms
Fractal and FractionalWe examine the one-sided and two-sided (bilateral) projections of an element of fractional Gaussian noise onto its neighboring elements. We establish several analytical results and conduct a numerical study to analyze the behavior of the coefficients of these projections as functions of the Hurst index and the number of neighboring elements used for ...
Iryna Bodnarchuk +2 more
openaire +3 more sources
Generalized M-Estimation-Based Framework for Robust Guidance Information Extraction
EntropyThis study tackles state estimation challenges in guidance information extraction. These challenges arise from non-Gaussian noise. We propose a robust framework to address them.
Jiawei Ren +3 more
doaj +1 more source
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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Automatic Gaussian random-noise limiter [PDF]
, 1969 Circuit limits the positive and negative peaks of a random-noise signal. It accurately establishes a known limiting level relative to any given RMS value of the random-noise signal ...
Woodbury, R. C.
core +1 more source
Gaussian matrix-product states for coding in bosonic communication channels
, 2012 The communication capacity of Gaussian bosonic channels with memory has recently attracted much interest. Here, we investigate a method to prepare the multimode entangled input symbol states for encoding classical information into these channels.
Cerf, Nicolas J. +2 more
core +1 more source