Results 41 to 50 of about 35,262 (307)
Mechanical Engineering Journal, 2017 This research aims to reduce the second-order distortion due to diaphragm vibration. The quadratic term of the restoring force of nonlinear springs varies in the pulling and compression directions.
Mitsuharu WATANABE +4 more
doaj +1 more source
Algorithm of FBG Spectrum Distortion Correction for Optical Spectra Analyzers with CCD Elements
Sensors, 2021 Nonlinear spectrum distortions are caused by the peculiarities of the operation of charge-coupled device elements (CCD), in which the signal exposition time (Time of INTegration–TINT) is one of the significant parameters.
Vladimir Anfinogentov +8 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova +2 more
wiley +1 more source
Distortion-Free Nonlinear Dimensionality Reduction [PDF]
, 2008 Nonlinear Dimensionality Reduction is an important issue in many machine learning areas where essentially low-dimensional data is nonlinearly embedded in some high-dimensional space. In this paper, we show that the existing Laplacian Eigenmaps method suffers from the distortion problem, and propose a new distortion-free dimensionality reduction method ...
Yangqing Jia +2 more
openaire +1 more source
Compensation of nonlinear distortion in RF power amplifiers for LTE applications
, 2014 In this article, a real valued time delay neural networks (RVTDNN) based power amplifier predistorter is presented. A two hidden layers neural network, trained with measured data, is used as predistorter. Nonlinear distortion compensation is increased by
Budimir, D. +3 more
core +1 more source
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
Advanced Engineering Materials, EarlyView.An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Review of RF Device Behavior Model: Measurement Techniques, Applications, and Challenges
Micromachines, 2023 This review presents a concise overview of RF (radio frequency) power transistor behavior models, which is crucial for optimizing RF performance in high-frequency applications like wireless communication, radar, and satellites.
Haode Li +4 more
doaj +1 more source
, 2011 In this paper a new nonlinear digital baseband predistorter design is introduced based on direct learning, together with a new Wiener system modeling approach for the high power amplifiers (HPA) based on the B-spline neural network.
Xia Hong +7 more
core +1 more source
Investigation of Optical Modulators in Optimized Nonlinear Compensated LTE RoF System [PDF]
, 2014 In this paper, we investigate a nonlinear compensation technique with two different architectures using direct modulation (DM) and external modulation (EM) techniques, termed as DM based frequency dithering (DMFD) and EM based frequency dithering (EMFD).
Ghassemlooy, Zabih +3 more
core +1 more source