2017
DOI: 10.1016/j.optlastec.2017.03.012
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All-optical XOR and OR by Mach-Zehnder Interferometer engineered photonic crystal fibers

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Cited by 4 publications
(28 citation statements)
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“…However, NLS equations only have possible analytical solutions in very particular situations; therefore, simulations based on numerical methods are an essential tool to study in order to gain improvements in optical systems. In the literature, there are many works involving couplers and other fiber-based devices, where it is quite common to use numerical methods such as the fourthorder Runge-Kutta (RK4) [2], [3], [8], [9], the split-step Fourier Method (SSFM) [10]- [12] and the finite-differencetime-domain (FDTD) [4], [13]- [15]. However, such methods require extensive simulations and a large amount of data to be analyzed, which may hinder the interpretation of the obtained results.…”
Section: The Combination Of Several Optical Couplers In An Arrangedmentioning
confidence: 99%
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“…However, NLS equations only have possible analytical solutions in very particular situations; therefore, simulations based on numerical methods are an essential tool to study in order to gain improvements in optical systems. In the literature, there are many works involving couplers and other fiber-based devices, where it is quite common to use numerical methods such as the fourthorder Runge-Kutta (RK4) [2], [3], [8], [9], the split-step Fourier Method (SSFM) [10]- [12] and the finite-differencetime-domain (FDTD) [4], [13]- [15]. However, such methods require extensive simulations and a large amount of data to be analyzed, which may hinder the interpretation of the obtained results.…”
Section: The Combination Of Several Optical Couplers In An Arrangedmentioning
confidence: 99%
“…Some authors use the nomenclature Tucker-3 for the thirdorder Tucker decomposition. When one of the matrix factors of this decomposition is equal to the identity matrix, for example A (1) = I I 1 , we say that we have a Tucker-2 model given by X = C × 2 A (2) × 3 A (3) , which is equivalent to a Tucker-(2, 3) decomposition. Similarly, when two of the matrix factors are equal to identity matrices, for example A (1) = I I 1 and A (2) = I I 2 , we have a Tucker-1, or Tucker-(1, 3) decomposition, and X becomes X = C × 3 A (3) .…”
Section: ) Tucker Decompositionmentioning
confidence: 99%
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