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Probability Density Function

Watermarking Scheme based on Redundant Discrete Wavelet Transform, Singular Value Decomposition and Uniform Probability Density Function

Watermarking Scheme based on Redundant Discrete Wavelet Transform, Singular Value Decomposition and Uniform Probability Density Function

... ABSTRACT: Now a day’s watermarking is one of the major one in the copyright protections and proof of ownership applications in digital image processing. As the technology improves day by day, it becomes a challenging ...

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Modelling and control of the flame temperature distribution using probability density function shaping

Modelling and control of the flame temperature distribution using probability density function shaping

... This paper presents three control algorithms for the output probability density function (PDF) control of the 2D and 3D flame distribution systems. For the 2D flame distribution systems, control ...

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Non-Stationary Statistics with Amplitude Probability Density Function for Exposure and Energy Density Reporting Near a Mobile Phone Running 4G Applications

Non-Stationary Statistics with Amplitude Probability Density Function for Exposure and Energy Density Reporting Near a Mobile Phone Running 4G Applications

... amplitude probability density function capability of a real-time spectrum analyzer and on computing the integrated energy density in air (at incidence to the ...

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Periodic Solution For Nonlinear System Of Differential Equations Depending On The Probability Density Function Of Gamma Distribution

Periodic Solution For Nonlinear System Of Differential Equations Depending On The Probability Density Function Of Gamma Distribution

... Numerical-analytic method existence, uniqueness, stability Periodic solution, probability density function of gamma dirstibution, nonlinear system of differential equations.. The[r] ...

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Unwrapped phase estimation via normalized probability density function for multibaseline InSAR

Unwrapped phase estimation via normalized probability density function for multibaseline InSAR

... The MLE method [25], estimating the phase values of each pixel separately, can adapt to the view angle and the topo- graphic slope, even at the lack of priori information about the observed scene. Extensive research on ...

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AK P: An Active Learning Method Combing Kriging and Probability Density Function for Reliability Analysis

AK P: An Active Learning Method Combing Kriging and Probability Density Function for Reliability Analysis

... Abstract. An important challenge in structural reliability is to reduce the number of calls to the performance function. To reduce computational burden, surrogate models are commonly used. Kriging, one of the ...

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Minimization of the Difference between the Theoretical Mean of the Rayleigh Probability Density Function and the Mean Obtained from its Plot

Minimization of the Difference between the Theoretical Mean of the Rayleigh Probability Density Function and the Mean Obtained from its Plot

... Rayleigh Probability Density Function and the mean of the plot of Rayleigh function, we modified the equation (10) and obtained the equation (14) as the ultimate expression for the ...

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Parameterizing deep convection using the assumed probability density function method

Parameterizing deep convection using the assumed probability density function method

... Deep convection has often been parameterized by the use of mass-flux schemes (e.g., Arakawa and Schubert, 1974; Kain and Fritsch, 1990; Donner, 1993; Zhang and Mc- Farlane, 1995; Arakawa, 2004; Kain, 2004; Gerard, 2007; ...

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Decision Tree Analysis Tool with the Design Approach of Probability Density Function towards Uncertain Data Classification

Decision Tree Analysis Tool with the Design Approach of Probability Density Function towards Uncertain Data Classification

... esteem. Probability density function with equal probabilities is one compelling data uncertainty demonstrating system to speak to each estimation of a property as an arrangement of ...utilizing ...

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Probability density function estimation using orthogonal forward regression

Probability density function estimation using orthogonal forward regression

... the probability density function (PDF) based on a realisation sample drawn from the underlying density is based on a non-parametric approach ...non-parametric density estimation ...

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CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

CREST (Climate REconstruction SofTware): a probability density function (PDF)-based quantitative climate reconstruction method

... these, probability density function (PDF)-based methods have proven valuable as they can be applied to a wide range of plant ...likelihood function obtained after the multiplication of the ...

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Application of Rayleigh Probability Density Function in Electromagnetic Wave Propagation

Application of Rayleigh Probability Density Function in Electromagnetic Wave Propagation

... Rayleigh Probability Density Function (Rayleigh PDF) is used for the cases in which there is non-line of sight (NLOS)[1] between transmitters and receivers for the communication networks and channel ...

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An Iterative Soft Bit Error Rate Estimation of Any Digital Communication Systems Using a Nonparametric Probability Density Function

An Iterative Soft Bit Error Rate Estimation of Any Digital Communication Systems Using a Nonparametric Probability Density Function

... In general, performance of communication system receivers cannot be calculated analytically. The bit error rate (BER) is thus computed using the Monte Carlo (MC) simulation (Bit Error Counting). It is shown that if we ...

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A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method

A new probability density function for spatial distribution of soil water storage capacity leads to the SCS curve number method

... a probability distribution function for the spatial variability of soil water storage ...the probability density function (PDF)? This is an unsolved research ...distribution ...

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Application of tests of goodness of fit in determining the probability density function for spacing of steel sets in tunnel support system

Application of tests of goodness of fit in determining the probability density function for spacing of steel sets in tunnel support system

... appropriate Probability Density Function (PDF) for random ...the probability distribution function for spacing of steel sets used for primary support of the ...

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Effect of enhanced dissipation by shear flows on transient relaxation and probability density function in two dimensions

Effect of enhanced dissipation by shear flows on transient relaxation and probability density function in two dimensions

... time-dependent Probability Density Functions (PDFs) and discuss the effects of enhanced dissipation by shear flows on PDFs and effective dissipation time scale s e ...

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A Herschel-SPIRE survey of the Mon R2 giant molecular cloud: analysis of the gas column density probability density function

A Herschel-SPIRE survey of the Mon R2 giant molecular cloud: analysis of the gas column density probability density function

... Among a few methods to map the distribution of column densi- ties are mm-line emission features, extinction of background stars by dust, and thermal dust emission (cf. Schnee et al. 2005). There are advantages and ...

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An Ostrowski's Type Inequality for a Random Variable whose Probability Density Function Belongs to L∞ [A,B]

An Ostrowski's Type Inequality for a Random Variable whose Probability Density Function Belongs to L∞ [A,B]

... Wang applied Ostrowski's inequality in Numeri- cal Analysis obtaining an estimation of the error bound for the quadrature rules of Riemann type in terms of the innity norm kk.. : Applica[r] ...

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Age Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals

Age Related Changes in Probability Density Function of Pairwise Euclidean Distances between Multichannel Human EEG Signals

... f ∆ Y τ = ⋅ ∆ γ Y τ ν − − ∆ β Y τ α (2) where γ αβ = ν α / Γ ( ν α / ) , Γ(∙) is the gamma function, α and ν are shape parameters, and β is the scale parame- ter. It follows from the fact that the “random EEG” ...

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Shaping of molecular weight distribution using b-spline based predictive probability density function control

Shaping of molecular weight distribution using b-spline based predictive probability density function control

... Proceeding of the 2004 American Control Conference Boston, Massachusetts June 30 - J u l y 2,2004 ThP10.6 Shaping of Molecular Weight Distribution Using B-spline Based Predictive Probabi[r] ...

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