Spectral features: how to reduce them [PDF]
SPIE Proceedings, 2009 Spectral features are introduced by the diffuser that is used during on-board sun calibration. New findings are presented on how to reduce the size of these spectral features. Reduction can be obtained via optical design of the calibration unit, but also in creating a better diffuser.
Brug, H. van +4 more
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Predicting improvement in biofeedback gait training using short-term spectral features from minimum foot clearance data. [PDF]
Front Bioeng BiotechnolStroke rehabilitation interventions require multiple training sessions and repeated assessments to evaluate the improvements from training. Biofeedback-based treadmill training often involves 10 or more sessions to determine its effectiveness.
Sengupta N +5 more
europepmc +2 more sources
Spectral Embedding of Feature Hypergraphs [PDF]
, 2008 In this paper we investigate how to establish a hypergraph model for characterizing object structures and how to embed this model into a low-dimensional pattern space. Each hyperedge of the hypergraph model is derived from a seed feature point of the object and embodies those neighbouring feature points that satisfy a similarity constraint. We show how
Peng Ren 0001 +2 more
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BATSE evidence for GRB spectral features [PDF]
Fourth Huntsville gamma-ray burst symposium, 1998 We have developed an automatic search procedure to identify low-energy spectral features in GRBs. We have searched 133,000 spectra from 117 bright bursts and have identified 12 candidate features with significances ranging from our threshold of P = 5E-5 to P = 1E-7.
Briggs, M. S. +5 more
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Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Frontiers in Physiology, 2023 Introduction: Drowsy driving is a significant factor causing dire road crashes and casualties around the world. Detecting it earlier and more effectively can significantly reduce the lethal aftereffects and increase road safety.
Saad Arif, Saba Munawar, Hashim Ali
doaj +1 more source
Selection of optimal spectral features for leaf chlorophyll content estimation. [PDF]
Sci RepLeaf chlorophyll content (LCC) is crucial for monitoring the physiological processes of crops. Many studies have utilized spectral features to develop regression models for accurate LCC estimation, enabling the quantitative assessment and evaluation of ...
Zhang Y, Han X, Yang J.
europepmc +2 more sources
Blind source separation to enhance spectral and non-linear features of magnetoencephalogram recordings:Application to Alzheimer's disease [PDF]
, 2009 This work studied whether a blind source separation (BSS) and component selection procedure could increase the differences between Alzheimer's disease (AD) patients and control subjects' spectral and nonlinear features of magnetoencephalogram (MEG ...
Abasolo, Daniel +3 more
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Compressive spectral feature sensing
IET Image Processing, 2019 To reduce the size of spectral data, compressive sensing imaging systems are developed to sample fewer measurements than the Nyquist‐rate ones, from which the original data can be recovered by the optimisation model and algorithm. However, this is not a cheap option for the case where the real‐time acquisition of spectral information is required.
Zelong Wang, Jubo Zhu
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Small-size spectral features for machine learning in voice signal analysis and classification tasks
Informatika, 2023 Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods.
D. S. Likhachov +3 more
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Directional features of the downshifted peak observed in HF-induced stimulated electromagnetic emission spectra obtained using an interferometer [PDF]
, 2006 International audienceA high frequency (HF) ionospheric modification experiment was carried out between 25 September and 8 October 2004, using the EISCAT HF transmitter located near Tromsø, Norway.
Khudukon, B. Z. +27 more
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