Conferences related to Gaussian distribution

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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.


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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

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

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

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

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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IEEE.tv Videos

Single Frame Super Resolution: Fuzzy Rule-Based and Gaussian Mixture Regression Approaches
Learning Lab for Chapter Recording and Distribution
Global Distribution Systems for the Smart Grid: Gordon Day
APEC Speaker Highlights - Doug Hopkins, University of Buffalo, Power Electronics/Smart-Grid
ICASSP 2010 - New Signal Processing Application Areas
Care Innovations: Green Engineering (com legendas em portugues)
Food Engineering - The Future is Now: 2017 Brain Fuel President's Chat
Tools for Section Chapter Meeting Recording and Distribution - Tom Coughlin - Brief Sessions: Sections Congress 2017
Tech Super Stars Panelist - Marc Bracken: 2016 Technology Time Machine
The Other 5G: 60 GHz Wifi Access / B-Haul Solutions - Arogyaswami Paulraj - Brooklyn 5G Summit 2018
Lionel O. Barthold - IEEE Medal in Power Engineering, 2019 IEEE Honors Ceremony
Quantum Communication for Tomorrow - W.J. Munro Plenary from 2016 IEEE Photonics Conference
IEEE Power & Energy Society
Modeling Device-to-Device Communications for Wireless Public Safety Networks - David Griffith - 5G Technologies for Tactical and First Responder Networks 2018
KeyTalk with Conor Quinn: Empowering the Electronics Industry - A Power Technology Roadmap - APEC 2017
PELS: What Is Power Electronics?
Brooklyn 5G - 2015 - Mr. Mikael Hook - Bringing Massive MIMO to Reality
IEEE Entrepreneurship @ SXSW 2017: LOOX VR
IEEE Themes - Distance-Dependent Kronecker Graphs For Modeling Social Networks
IEEE Smart Grid: Vision, Mission, Community

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.

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

    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. In addition, formulas for the moments of these distributions, in terms of Gauss' hypergeometric function, are provided. An application of these new results, relevant to the calculation of outage probability in the presence of self-interference, is finally discussed.

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

    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) result in general in quadrature components of different statistical properties.

  • 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.

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

    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 distribution of any sinusoidal frequency estimator of such a time series based on second-order statistics is deduced. The case of the noise whitening is also considered in this general formulation. It is shown, in particular, that under mild assumptions, the asymptotic performance of most covariance-based frequency estimators is independent of the distribution of the noise.

  • Correlation based joint CFAR ship detector in SAR images

    The characteristic difference between targets and clutter is analyzed. Considering the ship target's gray intensity distribution and its shape difference compared to the clutter, in this paper, a new algorithm is proposed based on correlation. The algorithm utilizes the strong gray intensity correlation in the ship target, and the joint gray intensity distribution (JPDF) using 2D joint Gaussian distribution of neighboring pixels in the clutter is modeled, which realizes joint CFAR detection. Using this algorithm, the false alarms caused by speckle and local background non-homogeneity can be greatly reduced.

  • 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

  • Closure on "Statistical and dynamic analysis of generation control performance standards"

    The authors reply to comments on their original paper ("Statistical and dynamic analysis of generation control performance standards", T. Sasaki et al., see ibid., vol.17 p.476-81, 2002) by N. Jaleeli et al. (see ibid., vol.18, no.1, p.406-7, 2003) and R. Blohm (see ibid., vol.18, no.1, p.408-9, 2003). The authors add some explanations to clarify the key issues.

  • Inner Mechanism-Based Real Time Data Fusion of the Multisensors of Magnetic Bearings

    On the basis of introducing the basic principle of magnetic bearings the data model of the multisensors of magnetic bearings is established. The data are considered to obey normal distribution. Variance analysis method is proposed in the data fusion. The condition is derived to determine whether or not the sensors are wrong. It is pointed out that an industrial computer or two embedded single microprocessors can realize the real time control and data process. When two microprocessors are used one is used to control the rotor keeping at the balance place, and the other's task is to finish data fusion. The system will provide fault prompt when there exists fault according to the result of data fusion. In order to positioning the fault inner mechanism should be considered in fault analysis. Inner mechanism is mainly decided by the position arrangement of the sensors and vibration of the rotor. Some relative experimental results are given.



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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