Results 11 to 20 of about 4,663,060 (356)
Multidimensional Fourier series with quantum circuits [PDF]
Physical Review A, 2023 Quantum machine learning is the field that aims to integrate machine learning with quantum computation. In recent years, the field has emerged as an active research area with the potential to bring new insights to classical machine learning problems. One
Berta Casas, Alba Cervera-Lierta
semanticscholar +1 more source
Seeing Implicit Neural Representations as Fourier Series [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Implicit Neural Representations (INR) use multilayer perceptrons to represent high-frequency functions in low-dimensional problem domains. Recently these representations achieved state-of-the-art results on tasks related to complex 3D objects and scenes.
Nuri Benbarka +3 more
semanticscholar +1 more source
Fourier series of higher-order Bernoulli functions and their applications. [PDF]
J Inequal Appl, 2017 In this paper, we study the Fourier series related to higher-order Bernoulli functions and give new identities for higher-order Bernoulli functions which are derived from the Fourier series of them.
Kim T, Kim DS, Rim SH, Dolgy DV.
europepmc +2 more sources
Fourier Plane-Wave Series Expansion for Holographic MIMO Communications [PDF]
IEEE Transactions on Wireless Communications, 2021 Imagine a MIMO communication system that fully exploits the propagation characteristics offered by an electromagnetic channel and ultimately approaches the limits imposed by wireless communications. This is the concept of Holographic MIMO communications.
Andrea Pizzo +2 more
semanticscholar +1 more source
Notes regarding classical Fourier series
Journal of Numerical Analysis and Approximation Theory, 2023 A survey of some classical results from the theory of trigonomtrical series is presented, especially the case of Fourier series. Some new proofs are presented, and Riemann's theory of trigonometrical series is is given special attention.
Paul Bracken
doaj +1 more source
Fourier expansion in variational quantum algorithms [PDF]
Physical Review A, 2023 The Fourier expansion of the loss function in variational quantum algorithms (VQA) contains a wealth of information, yet is generally hard to access. We focus on the class of variational circuits, where constant gates are Clifford gates and parameterized
Nikita A. Nemkov +2 more
semanticscholar +1 more source
Alternative Method to Estimate the Fourier Expansions and Its Rate of Change
Mathematics, 2022 This paper presents a methodology to obtain the Fourier coefficients (FCs) and the derivative Fourier coefficients (DFCs) from an input signal. Based on the Taylor series that approximates the input signal into a trigonometric signal model through the ...
Johnny Rodríguez-Maldonado +2 more
doaj +1 more source
Fourier-series expansion of the dark-energy equation of state [PDF]
Monthly notices of the Royal Astronomical Society, 2019 The dark-energy component of the Universe still remains a mystery; however, several papers based on observational data have shown that its equation of state may have an oscillatory behaviour.
D. Tamayo
semanticscholar +1 more source
The determination of parameters in crystal structures by means of Fourier series
, 1929 The Fourier representation of the results of X-ray analysis was first suggested by W. H. Bragg. It was developed independently by Duane, and used by Havighurst and Compton to give striking representations of the distribution of scattering matter in ...
W. L. Bragg
openalex +2 more sources