convolution type
A Series Approach to Perturbed Stochastic Volterra Equations of Convolution Type
... In the paper, perturbed stochastic Volterra Equations with noise terms driven by series of inde- pendent scalar Wiener processes are considered. In the study, the resolvent approach to the equa- tions under consideration ...
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Some classes of singular integral equations of convolution type in the class of exponentially increasing functions
... In this article, some classes of SIEs of convolution type with Cauchy kernels are solved in the class of exponentially increasing functions. By Fourier transform, such equations are transformed into RBVPs ...
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Solvability of some classes of singular integral equations of convolution type via Riemann–Hilbert problem
... Cauchy type and integral equations of convolution type ...Wiener–Hopf type with continuous coefficients was considered in [6, ...and convolution, the conditions of their Noethericity were ...
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Asymptotic behavior of mild solutions for a class of abstract nonlinear difference equations of convolution type
... A systematic study of difference equations may be traced to papers by different authors [11, 15, 17, 26, 30, 32, 33]. In [33] Xia established some sufficient criteria for the exis- tence and uniqueness of the discrete ...
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Singular integral equations of convolution type with Hilbert kernel and a discrete jump problem
... of convolution type with Hilbert kernel and ...dual type with periodicity and Hilbert kernel, the Wiener-Hopf type equations, and the equations with periodicity and cosecant ...
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Integral Transforms of Fourier Cosine and Sine Generalized Convolution Type
... Recently, a class of integral transforms that is related to the generalized convolution (1.11) has been introduced and investigated in [12]. In this paper, we will consider a class of in- tegral transform which ...
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Some New Applications of Elzaki Transform for Solution of Linear Volterra Type Integral Equations
... Volterra type integral equations have diverse applications in scientific and other ...include convolution type equations as well as one system of ...
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Inequalities for the fractional convolution operator on differential forms
... following convolution type fractional integrals operator acting on differential forms and develop some norm inequalities for the fractional convolution ...
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Line Segment Convolution
... FFT-based convolution approach, several ideas for increased efficiency have suggested themselves, such as more complex logic for ordering calculations, or even dynamic generation of the output vector ...
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Primary Synchronization Signal Detection Algorithm in LTE A
... domain convolution correlation algorithm is ...and convolution, and the characteristics of Fourier ...domain convolution cross correlation algorithm is efficient, robust and feasible, can reduce the ...
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EDUCATIONAL MODELLING IN CLOUD COMPUTING USING IMS LEARNING DESIGN
... first time’, ‘the second time’, ‘income’, ‘state’, ‘still’, etc. They are more or less similar to the function of logical convolution operator of signal the signal operator’s logical convolution. The paper ...
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Tribonacci Convolution Triangle
... Fibonacci Convolution Triangle, and the Tribonacci Convolution ...the convolution of ...Fibonacci Convolution Triangle, along with some of the observations others before me have ...
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Dubbert, Joerg (2001): Measurement of the W Boson Mass in the W+W-->qqlv Channel with the OPAL Detector at LEP. Dissertation, LMU München: Fakultät für Physik
... the Convolution method has several ...The Convolution method exhibits only a small residual bias of less than 100 MeV, much smaller than the statistical error of the measurements in the indi- vidual decay ...
196
Side Lobe Level Reduction of Any Type of Linear Equally Spaced Array Using the Method of Convolution
... and type of antenna element used. In this article, by use of convolution procedure and the time scaling property, reduce SLL for any type of linear equally spaced ...
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Some Convolution-Type Identities of a q-Analogue of Second Kind r-Whitney Numbers
... Taking 𝑥 = 1, this yields the ordinary Bell numbers 𝐵 𝑛 . That is, 𝐵 𝑛 = 𝐵 𝑛 (1). All other Bell-type numbers and polynomials are defined in this way. These Bell-type numbers and polynomials possess several ...
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Depthwise Convolution Is All You Need for Learning Multiple Visual Domains
... The results of the proposed approach and the baselines on Visual Decathlon Challenge are shown in Table 2. Our ap- proach achieves the highest score among all the methods while requiring the least amount of parameters. ...
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Spaces of DLp type and a convolution product associated with the spherical mean operator
... This operator plays an important role and has many applications, for example, in im- age processing of so-called synthetic aperture radar (SAR) data (see [7, 8]), or in the linearized inverse scattering problem in ...
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Detection of Autism using Magnetic Resonance Imaging data and Graph Convolutional Neural Networks
... 11 of vertex A and vertex B as shown in Figure 4 (b). The same process as before is repeated to obtain the resultant output value of position (A, B). Once all the edges have been analyzed from vertex A’s point of view, ...
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A Sparse Autoencoder and Softmax Regression based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine
... the convolution kernels; (2) making the convolution between the labeled images and convolution kernels to obtain the convolved features of each image in the labeled samples; (3) transforming the ...
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Segmentation of lung field from saliency maps by convolution neural network in chest radiographs using machine learning
... Segmenting lung fields from CXRs (Chest Radiographs) is an important task for the analysis, diagnosis and treatment of tumor diseases. Although many segmentation method have been presented. This paper proposed for the ...
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