Results 231 to 240 of about 55,851 (263)

Generation of Colored Noise Patterns With Gaussian Jitter Distribution

IEEE Transactions on Instrumentation and Measurement, 2017
Bit rates of high-speed serial links (USB, SATA, PCI-express, etc.) have reached the multigigabits per second, and continue to increase. The transmitted jitter at a given bit error rate is one of the key parameters used to describe the performances of a serializer/deserializer.
Klodjan Bidaj, Jean-Baptiste Bégueret, Jerome Deroo   +2 more
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Transformation of the Multivariate Generalized Gaussian Distribution for Image Editing

IEEE Transactions on Visualization and Computer Graphics, 2018
Multivariate generalized Gaussian distributions (MGGDs) have aroused a great interest in the image processing community thanks to their ability to describe accurately various image features, such as image gradient fields. However, so far their applicability has been limited by the lack of a transformation between two of these parametric distributions ...
Hristova, Hristina, Le Meur, Olivier, Cozot, Rémi, Bouatouch, Kadi   +3 more
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On the use of the quaternion generalized Gaussian distribution for footstep detection

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
We propose a method to detect human footsteps from a vector-quaternion signal acquired by a tri-axial geophone. The quaternion generalized Gaussian distribution (QGGD) is derived to parameterize variations in the vector-quaternion signal using a shape parameter, quantifying non-Gaussianity and quaternion augmented covariance matrix, quantifying inter ...
Divya Venkatraman, Vinod V. Reddy, Andy W. H. Khong   +2 more
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Novel Estimator for the Location Parameter of the Generalized Gaussian Distribution

IEEE Communications Letters, 2012
The estimation of the location parameter of the generalized Gaussian distribution with shape parameter p ≥ 2 is studied and a novel estimator, based on an approximation to the maximum likelihood estimator, is proposed. The new estimator is simple with low complexity and is proved to be unbiased.
Norman C. Beaulieu, Qintian Guo
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Adaptive Bayesian Denoising for General Gaussian Distributed Signals

IEEE Transactions on Signal Processing, 2014
We study behavior of the Bayesian estimator for noisy General Gaussian Distributed (GGD) data and show that this estimator can be well estimated with a simple shrinkage function. The four parameters of this shrinkage function are functions of GGD's shape parameter and data variance.
Masoud Hashemi, Soosan Beheshti
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Bit-Plane Coding for Source with Generalized Gaussian Distribution

2009 11th IEEE International Symposium on Multimedia, 2009
Bit-plane probability of data is a useful characteristic for many applications, such as entropy coding. Its value may vary according to the distribution of the data. In this paper, the bit-plane probability of data with generalized Gaussian distribution is analyzed.
Haiyan Shu, Haibin Huang, Te Li, Susanto Rahardja   +3 more
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Subthreshold CMOS Array for Generating a Gaussian Distribution of Currents

IEEE Transactions on Circuits and Systems II: Express Briefs, 2006
This brief presents a subthreshold CMOS array whose spatial distribution of output currents approximates a Gaussian, and the distribution has an independently controllable mean and standard deviation. This Gaussian distribution naturally results from the transistor physics of subthreshold CMOS equations and the symmetry imposed in the network.
Michael S. Reid, Edgar A. Brown, Stephen P. DeWeerth   +2 more
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Binarization of Degraded Document Images with Generalized Gaussian Distribution

2019
One of the most crucial steps of preprocessing of document images subjected to further text recognition is their binarization, which influences significantly obtained OCR results. Since for degrades images, particularly historical documents, classical global and local thresholding methods may be inappropriate, a challenging task of their binarization ...
Robert Krupinski, Piotr Lech, Mateusz Teclaw, Krzysztof Okarma   +3 more
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Distributed Parameter Estimation for Univariate Generalized Gaussian Distribution over Sensor Networks

Circuits, Systems, and Signal Processing, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen Liang, Fuxi Wen, Zhongmin Wang 0001
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Three Parameter Generalized Gaussian Type Distribution

Tuijin Jishu/Journal of Propulsion Technology, 2023
In this article we introduced a three parameter generalized Gaussian type distribution. The various distributional properties like probability density function, moment generating function, the central moments etc., are derived. The estimators of the parameters are also obtained through the method of moments and maximum likelihood method of estimation ...
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