Probability distribution

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In probability theory, a probability mass, probability density, or probability distribution is a function that describes the probability of a random variable taking certain values. (Wikipedia.org)






Conferences related to Probability distribution

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ICC 2021 - IEEE International Conference on Communications

IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.


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 Industrial Engineering and Engineering Management (IEEM)

All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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 Probability 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.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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.)


Communications, IEEE Transactions on

Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for Probability distribution

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Xplore Articles related to Probability distribution

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A Note on the Word Error Probability Associated with a Sequence of Digits Having Unequal Error Probabilities

IEEE Transactions on Communications Systems, 1963

None


The Emitter-Coupled Differential Amplifier

IRE Transactions on Circuit Theory, 1956

The transistor emitter-coupled differential amplifier is analogous to the cathode-coupled differential amplifier and gives promise of excellent utility in transistorized circuitry. Expressions are given for 1) the circuit voltage gain, current gain, and input impedance, 2) the common-mode rejection when the circuit is used as a differencing amplifier, and 3) the signal unbalance when the circuit is employed as a ...


Scintillation caused by the ionosphere with non-Gaussian statistics of irregularities

Radio Science, 2011

In situ measurements indicate that the probability distribution function (pdf) of plasma density fluctuations on scales of importance to scintillation is far from the Gaussian and resemble the Laplace (double exponential) distribution. Radio wave propagation in the ionosphere with irregularities subject to the Gaussian and Laplace pdf has been modeled using the multiple two-dimensional phase screen method. The Chapman altitude ...


An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals

Speech Communication; 10. ITG Symposium, 2012

Mutual information (MI) is an important information theoretic concept which has many applications in telecommunications, in blind source separation, and in machine learning. More recently, it has been also employed for the instrumental assessment of speech intelligibility where traditionally correlation based measures are used. In this paper, we address the difference between MI and correlation from the viewpoint of discovering ...


A criterion for the diagonal expansion of a second-order probability distribution in orthogonal polynomials

IRE Transactions on Information Theory, 1958

In a recent paper,<sup>1</sup> Barrett and Lampard introduced an expansion for second-order probability distributions which expresses such a distribution as a double series involving orthogonal polynomials associated with the corresponding first-order probability distributions. Several interesting consequences were derived for the class, A, consisting of all second-order distributions having a diagonal expansion of the form


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Educational Resources on Probability distribution

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IEEE-USA E-Books

  • A Note on the Word Error Probability Associated with a Sequence of Digits Having Unequal Error Probabilities

    None

  • The Emitter-Coupled Differential Amplifier

    The transistor emitter-coupled differential amplifier is analogous to the cathode-coupled differential amplifier and gives promise of excellent utility in transistorized circuitry. Expressions are given for 1) the circuit voltage gain, current gain, and input impedance, 2) the common-mode rejection when the circuit is used as a differencing amplifier, and 3) the signal unbalance when the circuit is employed as a single-ended-to-push-pull amplifier or phase inverter. When the circuit is used as a dc amplifier, drift generated by variations in the temperature-sensitive parameters cancels to a satisfactory degree.

  • Scintillation caused by the ionosphere with non-Gaussian statistics of irregularities

    In situ measurements indicate that the probability distribution function (pdf) of plasma density fluctuations on scales of importance to scintillation is far from the Gaussian and resemble the Laplace (double exponential) distribution. Radio wave propagation in the ionosphere with irregularities subject to the Gaussian and Laplace pdf has been modeled using the multiple two-dimensional phase screen method. The Chapman altitude profile of plasma density is assumed. Modeling shows considerable differences between the scintillation intensity with more intense, intermittent scintillation associated with the non-Gaussian irregular ionosphere. We also have found that the probability distribution function of the medium fluctuations has no effect on the phase scintillation. We show that the mean delay time is much more irregular for the Laplace statistics and may be much larger than that for the Gaussian distribution. Similarly the pulse spread is larger in the non-Gaussian case, often suddenly increasing by several tens of percent compared to the undisturbed propagation.

  • An Investigation on Mutual Information for the Linear Predictive System and the Extrapolation of Speech Signals

    Mutual information (MI) is an important information theoretic concept which has many applications in telecommunications, in blind source separation, and in machine learning. More recently, it has been also employed for the instrumental assessment of speech intelligibility where traditionally correlation based measures are used. In this paper, we address the difference between MI and correlation from the viewpoint of discovering dependencies between variables in the context of speech signals. We perform our investigation by considering the linear predictive approximation and the extrapolation of speech signals as examples. We compare a parametric MI estimation approach based on a Gaussian mixture model (GMM) with the knearest neighbor (KNN) approach which is a well-known non-parametric method available to estimate the MI. We show that the GMM-based MI estimator leads to more consistent results.

  • A criterion for the diagonal expansion of a second-order probability distribution in orthogonal polynomials

    In a recent paper,<sup>1</sup> Barrett and Lampard introduced an expansion for second-order probability distributions which expresses such a distribution as a double series involving orthogonal polynomials associated with the corresponding first-order probability distributions. Several interesting consequences were derived for the class, A, consisting of all second-order distributions having a diagonal expansion of the form

  • Transmission loss evaluation based on probabilistic power flow

    None

  • 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.

  • Probability distributions of random electromagnetic fields in the presence of a semi-infinite isotropic medium

    Using a transverse electric/transverse magnetic decomposition for an angular plane wave spectrum of random electromagnetic waves and matched boundary conditions, we derive the probability density function for the energy density of the vector electric field in the presence of a semi-infinite isotropic medium. The theoretical analysis is illustrated with calculations and results for good electric conductors and for a lossless dielectric half-space. The influence of the permittivity and conductivity on the intensity, polarization state, statistical distribution, and standard deviation of the field is investigated, both for incident plus reflected fields and for refracted fields. External refraction is found to result in compression of the fluctuations of the random field. Several applications of the theory are discussed.

  • Method of using parameter confidence limits in circuit design

    None

  • New planar distributed devices based on a domain principle

    The spacial aspects of bipolar planar circuits are usually of only incidental interest, and are not considered until the layout stage. The devices that constitute the total circuit require attention to geometry, but electrically can be regarded as point-like elements. Structure and function arise from interconnecting these pre-characterized elements.



Standards related to Probability distribution

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IEEE Recommended Practice for Determining the Peak Spatial-Average Specific Absorption Rate (SAR) in the Human Head from Wireless Communications Devices: Measurement Techniques

To specify protocols for the measurement of the peak spatial-average specific absorption rate (SAR) in a simplified model of the head of users of hand-held radio transceivers used for personal wireless communications services and intended to be operated while held next to the ear. It applies to contemporary and future devices with the same or similar operational characteristics as contemporary ...