Results 21 to 30 of about 383,430 (227)
Why Use a Fuzzy Partition in F-Transform?
In many application problems, F-transform algorithms are very efficient. In F-transform techniques, we replace the original signal or image with a finite number of weighted averages.
Vladik Kreinovich +2 more
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Generalized entropies and the transformation group of superstatistics [PDF]
Superstatistics describes statistical systems that behave like superpositions of different inverse temperatures $\beta$, so that the probability distribution is $p(\epsilon_i) \propto \int_{0}^{\infty} f(\beta) e^{-\beta \epsilon_i}d\beta$, where the ...
Abe +7 more
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Deep Learning and Higher Degree F-Transforms: Interpretable Kernels Before and After Learning
One of the current trends in the deep neural network technology consists in allowing a man–machine interaction and providing an explanation of network design and learning principles. In this direction, an experience with fuzzy systems is of great support.
Vojtech Molek, Irina Perfilieva
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Some uniqueness theorems for a conical Radon transform
The conical Radon transform, which assigns to a given function f on ${{\mathbb{R}}}^{3}$ its integrals over conical surfaces, arises in several imaging techniques, e.g. in astronomy and homeland security, especially when the so-called Compton cameras are
Sunghwan Moon
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Noise Suppression of Distributed Acoustic Sensing Based on
A noise suppression method based on f-x deconvolution and the wavelet transform is proposed for eliminating jump edges in the phase noise of distributed acoustic sensing. Experimental results show that the proposed method has good performance in terms of
Wenhui Sun +4 more
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Loop-Effects in Pseudo-Supersymmetry [PDF]
We analyze the transmission of supersymmetry breaking in brane-world models of pseudo-supersymmetry. In these models two branes preserve different halves of the bulk supersymmetry.
A. Hebecker +34 more
core +3 more sources
Hybrid Fuzzy Regression Analysis Using the F-Transform
This paper proposes a hybrid estimation algorithm for independently estimating the response function for the center and the response function for the spread in fuzzy regression model.
Hye-Young Jung +2 more
doaj +1 more source
On the class of uncertainty inequalities for the coupled fractional Fourier transform
The coupled fractional Fourier transform F α , β $\mathcal {F}_{\alpha ,\beta}$ is a two-dimensional fractional Fourier transform depending on two angles α and β, which are coupled in such a way that the transform parameters are γ = ( α + β ) / 2 $\gamma
Firdous A. Shah +3 more
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Spectral denoising based on Hilbert–Huang transform combined with F-test
Due to the influence of uncontrollable factors such as the environment and instruments, noise is unavoidable in a spectral signal, which may affect the spectral resolution and analysis result.
Xihui Bian +8 more
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Ohmic heating (OH) involves application of an electric field to a conductive material, causing internal heat generation through resistance. This technology offers novel possibilities for the food industry, yet, its application within the baking industry ...
Eugenia Ayebea Asamoah +5 more
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