Well-conditioned asymptotic waveform evaluation for efficient computation of wave-scattering from perfectly conducting bodies [PDF]
, 2007 This paper presents a model order reduction algorithm for the surface electric field integral equation (EFIE) formulation of the electromagnetic wave scattering problem.
Conor Brennan +5 more
core +2 more sources
Waveform Discrimination in the Electric Fish Eigenmannia: Sensitivity for the Phase Differences Between the Spectral Components of a Stimulus Wave [PDF]
, 1991 Eigenmannia lineata is a tropical South American gymnotiform fish that is both electrogenic and electroreceptive. Its electric organ generates a constant-frequency wave discharge (EOD) that is sexually dimorphic in waveform and harmonic content ...
Kramer, Bernd +3 more
core +1 more source
Predicting loss in magnetic steels under arbitrary induction waveform and with minor hysteresis loops [PDF]
, 2004 We have studied ways of predicting power losses in soft magnetic laminations for generic time dependence of the periodic magnetic polarization J(t). We found that, whatever the frequency and the induction waveform, the loss behavior can be quantitatively
Fiorillo, F. +3 more
core +1 more source
LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion
IEEE Access, 2021 Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ...
Xue Ni +4 more
doaj +1 more source
End-to-End Speech Recognition from the Raw Waveform [PDF]
Interspeech 2018, 2018 State-of-the-art speech recognition systems rely on fixed, hand-crafted features such as mel-filterbanks to preprocess the waveform before the training pipeline. In this paper, we study end-to-end systems trained directly from the raw waveform, building on two alternatives for trainable replacements of mel-filterbanks that use a convolutional ...
Zeghidour, Neil +4 more
openaire +2 more sources
Estimation of 3D vegetation structure from waveform and discrete return airborne laser scanning data [PDF]
, 2012 This study presents and compares new methods to describe the 3D canopy structure with Airborne Laser Scanning (ALS) waveform data as well as ALS point data.
Olofsson, Kenneth, +12 more
core +1 more source
Texture recognition based on magnetostrictive tactile sensor array and convolutional neural network
AIP Advances, 2023 Tactile sensors are key devices in surface information perception for robots that can recognize the surface texture of fabrics with different materials and winding patterns in unstructured environments, thus helping the robot process fabrics more ...
Zhuolin Li +4 more
doaj +1 more source
An FPGA-Based Time-Domain Waveform Recognition Method Using Multi-Feature Voting Fusion
Applied SciencesIdentifying the time-domain waveform type under broadband conditions is a basic but very challenging task. Traditional methods based on frequency domain or training models generally have the problems of high resource consumption, large delay, and ...
Yiqi Tang, Zheng Li, Lin Zheng
doaj +1 more source
Waveform inversion of the S reflector west of Spain: fine structure of a detachment fault. [PDF]
, 2005 The S reflection west of Iberia has been interpreted as a low-angle detachment fault separating crustal fault blocks from partially serpentinized mantle. We apply full waveform inversion to investigate the fine structure of S.
Minshull, TA +7 more
core +1 more source
Communicating Recognition & Rewards experiences: Tips and tricks
These guidelines support communications and marketing employees in the preparation and execution stages of creating a story about someone’s experiences with Recognition & Rewards (R&R) principles and themes.
Recognition & Rewards
core +2 more sources