Distributed Parameter Estimation for Univariate Generalized Gaussian Distribution over Sensor Networks
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0345-0
Abstract: Generalized Gaussian distribution (GGD) is one of the most prominent and widely used parametric distributions to model the statistical properties of various phenomena. Parameter estimation for these distributions becomes a fundamental problem. However, most of… read more here.
Keywords: distributed parameter; estimation; generalized gaussian; parameter estimation ... See more keywords
Lifetime enhancement of wireless sensor networks by avoiding energy-holes with Gaussian distribution
Sign Up to like & getrecommendations! Published in 2017 at "Telecommunication Systems"
DOI: 10.1007/s11235-016-0163-5
Abstract: Wireless sensor networks (WSNs) are receiving significant attention due to their potential applications in environmental monitoring and surveillance domains. In WSNs, preserving energy requires utmost attention, as they are highly resource constrained. One fundamental way… read more here.
Keywords: network; energy; sensor networks; wireless sensor ... See more keywords
A novel multitarget model of radiation-induced cell killing based on the Gaussian distribution.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2017.03.002
Abstract: The multitarget version of the traditional target theory based on the Poisson distribution is still used to describe the dose-survival curves of cells after ionizing radiation in radiobiology and radiotherapy. However, noting that the usual… read more here.
Keywords: gaussian distribution; multitarget model; cell; distribution ... See more keywords
Robust full-waveform inversion using q-statistics
Sign Up to like & getrecommendations! Published in 2020 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2020.124473
Abstract: Abstract Imaging of the subsurface is central in seismic exploration and a topic of great economic interest. A promising technique for seismic imaging is a wave-equation-based method called full-waveform inversion (FWI). FWI is a data-fitting… read more here.
Keywords: gaussian distribution; full waveform; waveform inversion;
Hypothesis testing for the inverse Gaussian distribution mean based on ranked set sampling
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2020.1777294
Abstract: ABSTRACT In this study, the hypothesis test for the population mean of inverse Gaussian distribution using ranked set sampling is considered when the scale parameter is both known and unknown. In order to obtain critical… read more here.
Keywords: inverse gaussian; set sampling; hypothesis; gaussian distribution ... See more keywords
Sequential Minimum Risk Point Estimation of the Parameters of an Inverse Gaussian Distribution
Sign Up to like & getrecommendations! Published in 2019 at "American Journal of Mathematical and Management Sciences"
DOI: 10.1080/01966324.2019.1570883
Abstract: SYNOPTIC ABSTRACT In the first part of this article, a minimum risk estimation procedure is developed for estimating the mean μ of an inverse Gaussian distribution having an unknown scale parameter λ. A weighted squared-error… read more here.
Keywords: estimation; risk; inverse gaussian; gaussian distribution ... See more keywords
Signal Detection in Generalized Gaussian Distribution Noise With Nakagami Fading Channel
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2895627
Abstract: A fractional order moments-based detector is proposed for the detection of weak signals in additive impulsive noise environment assumed as generalized Gaussian distribution with properly selected parameter values. The asymptotic detection performance is derived and… read more here.
Keywords: noise nakagami; generalized gaussian; nakagami fading; noise ... See more keywords
Learnable Markov Chain Monte Carlo Sampling Methods for Lattice Gaussian Distribution
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2925530
Abstract: As a key ingredient of machine learning and artificial intelligence, the sampling algorithms with respect to lattice Gaussian distribution has emerged as an important problem in coding and decoding of wireless communications. In this paper,… read more here.
Keywords: lattice gaussian; chain monte; markov chain; gaussian distribution ... See more keywords
Construction and Optimization of Dynamic S-Boxes Based on Gaussian Distribution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3262313
Abstract: Block ciphers are widely used for securing data and are known for their resistance to various types of attacks. The strength of a block cipher against these attacks often depends on the S-boxes used in… read more here.
Keywords: nonlinearity; distribution based; gaussian distribution; distribution ... See more keywords
Multi-View Stereo Network with Gaussian Distribution Iteration
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3280929
Abstract: Multi-view stereo estimates the depth maps of multiple perspective images in a scene and then fuses them to generate a 3D point cloud of the scene, which is an essential technology of 3D reconstruction. In… read more here.
Keywords: network; multi view; view stereo; gaussian distribution ... See more keywords
Shape Parameter Estimator of the Generalized Gaussian Distribution Based on the MoLC
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2787558
Abstract: A novel estimator for the shape parameter of the generalized Gaussian distribution (GGD) is proposed based on the method of logarithmic cumulants. First, the expression of the log-cumulant for the GGD is theoretically derived. As… read more here.
Keywords: gaussian distribution; shape parameter; estimator; generalized gaussian ... See more keywords