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The S-parameter for a 1-port network is given by a simple 1 × 1 matrix of the form () where n is the allocated port number. To comply with the S-parameter definition of linearity, this would normally be a passive load of some type.
Admittance parameters or Y-parameters (the elements of an admittance matrix or Y-matrix) are properties used in many areas of electrical engineering, such as power, electronics, and telecommunications. These parameters are used to describe the electrical behavior of linear electrical networks.
In telecommunications, return loss is a measure in relative terms of the power of the signal reflected by a discontinuity in a transmission line or optical fiber.This discontinuity can be caused by a mismatch between the termination or load connected to the line and the characteristic impedance of the line.
Analysis of plane wave scattering from a subwavelength plasmonic grating with RCWA method. Rigorous coupled-wave analysis (RCWA), also known as Fourier modal method (FMM), [1] is a semi-analytical method in computational electromagnetics that is most typically applied to solve scattering from periodic dielectric structures.
The initial elements of S-matrix theory are found in Paul Dirac's 1927 paper "Über die Quantenmechanik der Stoßvorgänge". [1] [2] The S-matrix was first properly introduced by John Archibald Wheeler in the 1937 paper "On the Mathematical Description of Light Nuclei by the Method of Resonating Group Structure". [3]
System Architecture Evolution (SAE) is the core network architecture of mobile communications protocol group 3GPP's LTE wireless communication standard.. SAE is the evolution of the GPRS Core Network, but with a simplified architecture; an all-IP Network (AIPN); support for higher throughput and lower latency radio access networks (RANs); and support for, and mobility between, multiple ...
Your personal zodiac animal sign is determined by your year of birth, meaning 2025 will welcome plenty of baby Snakes. Children born in the last lunar calendar year were Dragons, while those born ...
Figure 1. Schematic representation of uncertainty analysis and sensitivity analysis. In mathematical modeling, uncertainty arises from a variety of sources - errors in input data, parameter estimation and approximation procedure, underlying hypothesis, choice of model, alternative model structures and so on.