Conferences related to Gaussian distribution

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


Oceans 2020 MTS/IEEE GULF COAST

To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2009

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2007

  • OCEANS 2006

  • OCEANS 2005

  • OCEANS 2004

  • OCEANS 2003

  • OCEANS 2002

  • OCEANS 2001

  • OCEANS 2000

  • OCEANS '99

  • OCEANS '98

  • OCEANS '97

  • OCEANS '96


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE International Symposium on Information Theory (ISIT)

Information theory and coding theory and their applications in communications and storage, data compression, wireless communications and networks, cryptography and security, information theory and statistics, detection and estimation, signal processing, big data analytics, pattern recognition and learning, compressive sensing and sparsity, complexity and computation theory, Shannon theory, quantum information and coding theory, emerging applications of information theory, information theory in biology.


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


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Periodicals related to Gaussian distribution

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Gaussian distribution

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Xplore Articles related to Gaussian distribution

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Probabilistic Potential Theory

[{u'author_order': 1, u'affiliation': u'Phoenix, AZ, USA', u'full_name': u'Lawrence N. Dworsky'}] Introduction to Numerical Electrostatics Using MATLAB, None

The equivalence of the steady-state wave and diffusion equations leads to a solution technique for electrostatics problems, sometimes called probabilistic potential theory (PPT). This technique relies on a random-walk game with a set of rules for play and scoring, while physical terms such as electric field, charge, or energy never appear. The random-walk procedure described in this chapter is an ...


Sum and Difference of Two Squared Correlated Nakagami Variates in Connection With the McKay Distribution

[] IEEE Transactions on Communications, 2004

Sum and Difference of Two Squared Correlated Nakagami Variates in Connection With the McKay Distribution General formulas for the probability density function of the sum and the difference of two correlated, but not necessarily identically distributed, squared Nakagami variates (or equivalently, gamma variates) are derived. These expressions are shown to be in the form of the McKay “Bessel function” distributions. ...


On quadrature components of dissimilar statistics and their relevance in antenna error analysis

[{u'author_order': 1, u'affiliation': u'SFA Inc./NRL, Largo, Maryland, USA', u'full_name': u'Cesar Monzon'}] Radio Science, 2004

Statistical analysis of the feed array of a complex antenna revealed distribution functions which cannot be represented by Rayleigh or Rice distribution models. Here we present the analytical description of these distributions, which may be seen as an extension of the Rice distribution. We conclude that statistical processes involving guidance of waves with very significant random content (e.g., near nulls) ...


Probability Theory

[{u'author_order': 1, u'full_name': u'Haesik Kim'}] Wireless Communications Systems Design, None

The reason why many wireless communication books start from probability theory is that wireless communications deal with uncertainty. If there are no channel impairments by nature, we can receive the transmitted messages without any distortion and do not need to care about probability theory. A random signal cannot be predicted but we may forecast future values from previous events using ...


Asymptotic normality of sinusoidal frequencies estimated by second-order algorithms for mixed spectra time series

[{u'author_order': 1, u'affiliation': u'Institut National des Telecommunications, 9 rue Charles Fourier, 91011 Evry Cedex, France', u'full_name': u'Jean-Pierre Delmas'}] 2000 10th European Signal Processing Conference, 2000

This paper addresses the asymptotic normal distribution of the sample covariance matrix of mixed spectra time series containing a sum of sinusoids and a linear stationary process. A new central limit theorem is proved for real or complex valued processes whose linear stationary process is possibly noncircular and not necessarily Gaussian. As an application of this result, the asymptotic normal ...


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Educational Resources on Gaussian distribution

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eLearning

No eLearning Articles are currently tagged "Gaussian distribution"

IEEE-USA E-Books

  • Probabilistic Potential Theory

    The equivalence of the steady-state wave and diffusion equations leads to a solution technique for electrostatics problems, sometimes called probabilistic potential theory (PPT). This technique relies on a random-walk game with a set of rules for play and scoring, while physical terms such as electric field, charge, or energy never appear. The random-walk procedure described in this chapter is an interesting but unsatisfying way to solve the finite difference Laplace equation. If this procedure were used over many points on a grid to determine the voltages at all these points, some of the voltages will definitely fall outside the confidence interval. The chapter then describes a procedure in which the diffusion equation is solved without resorting to random walks, or for that matter to random numbers at all. Another approach to a random-walk solution is to eliminate the grid entirely.

  • Probability Theory

    The reason why many wireless communication books start from probability theory is that wireless communications deal with uncertainty. If there are no channel impairments by nature, we can receive the transmitted messages without any distortion and do not need to care about probability theory. A random signal cannot be predicted but we may forecast future values from previous events using probability theory. When we consider a signal over time, we find the energy spectral density (ESD) and power spectral density (PSD). A correlation function is used to know the relationship between random variables. When we face a noise that the nature has made electrical component noises or thermal noises, we assume it follows Gaussian distribution because of central limit theorems. This theorem means that the sample average and sum have Gaussian distribution regardless of distribution of each random variable.

  • Simulation Methods for Fractal Processes

    This chapter contains sections titled:Fractional Brownian MotionFractional Gaussian NoiseRegression Models of TrafficFractal Point ProcessFractional Levy Motion and its Application to Network Traffic ModellingModels of Multifractal Network TrafficLRD Traffic Modelling with the Help of Wavelets_M/G/_∞ModelReferences

  • 7 THERE'S NO SUCH THING AS NORMAL

    Always remember that you are absolutely unique. Just like everyone else. —Dr. Margaret Mead, pioneer in cultural anthropology

  • Some Probability Techniques

    This chapter explains different probability techniques used in Tunny work. The discussions presented here are mainly a list of definitions, notations and theorems. It begins with symbols used in symbolic logic, simple probability notations, the laws of probability and some theorems, including Bayes?> theorem, theorem of the weighted average of factors, and theorem of the chain of witnesses. In addition a general formula for sigma in Tunny work and the principle of maximum likelihood are discussed.

  • Random Signals

    This chapter provides an overview of integration of the Gaussian probability density function and the Q-function. It explains the weighted sum of random variables and properties of Gaussian variables. The chapter presents the central limit theorem and ensembles average, autocorrelation functions of random processes. It also explores statistical properties of additive white Gaussian noise (AWGN). The chapter provides step-by-step code exercises and instructions to implement execution sequences. The MATLAB command randn(1,b) generates a 1×b vector whose elements are realizations of independent and identically distributed Gaussian random variables with zero mean and unit variance. The chapter summarizes the analytical relationship among the input, the output, and the impulse response of a linear system in the time domain. It is designed to help teach and understand communication systems using a classroom-tested, active learning approach.

  • Appendix E: Table for Gaussian Cumulative Distribution Function

  • How to Use Statistics to Ensure a Manufacturable Design

    This chapter contains sections titled: * Independent Component Failures * Using the Gaussian Distribution * Setting a Manufacturing Test Limit * Procuring a Custom Component * Problems

  • Parameter Estimation

    This chapter discusses techniques to estimate parameters and their accuracies. It studies two types of parameter estimation: maximum likelihood (ML) and linear regression (LR). Their accuracy and how they relate to graphical analysis are included. The relation of parameter estimation to graphical analysis is elaborated for the Weibull distribution, the exponential distribution, and the normal distribution. The chapter discusses the general aspects of parameter estimation and some characteristics of estimators in greater depth, with additional focus on the asymptotic behaviour of estimated parameters and their moments. The ML estimator is explained for both the uncensored case and the censored case. The LR estimator works with ranked plotting positions quite similar to graphical analysis with parametric plots. The chapter discusses the adjusted ranking method and the adjusted plotting position method for manipulating the ranked plotting positions.

  • Outage Models of System Components

    This chapter systematically discusses the outage models of system components. Generally, component outages can be divided into two categories: independent and dependent. The independent outage modes of power system components are categorized as follows: forced outage (repairable forced failure and nonrepairable forced failure), planned outage, semiforced outage, partial failure mode and multiple failure mode. Nonrepairable forced failure includes aging failure and chance failure. The aging failure mode of components should be incorporated in risk evaluation when components approach the end of their lives. Dependent outages can be classified as: common-cause outage, component- group outage, station-originated outage, cascading outage and environment- dependent failure. The common characteristic of all the dependent outage modes is that an outage state includes outages of more than one component. Dependent outages generally produce much more severe consequences than independent outages.



Standards related to Gaussian distribution

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IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications

The project defines a standard for high-speed (>100 Mbps at the physical layer) communication devices via electric power lines, so-called broadband over power line (BPL) devices. This standard uses transmission frequencies below 100 MHz. It is usable by all classes of BPL devices, including BPL devices used for the first-mile/last-mile connection (<1500 m to the premise) to broadband services as ...



Jobs related to Gaussian distribution

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