Results 71 to 80 of about 9,918,458 (219)
Frequency-based radar waveform design for target classification performance optimisation using Fisher analysis [PDF]
, 2020 This thesis presents non-adaptive radar waveform and receiver designs to improve radar target identification performance. The designs are based on the theory of Fisher discriminants analysis and Fisher separability functions.
Alshirah, Sultan
core +1 more source
Robust Waveform Design for Multistatic Cognitive Radars
IEEE Access, 2018 In this paper, we propose robust waveform techniques for multistatic cognitive radars in a signal-dependent clutter environment. In cognitive radar design, certain second order statistics such as the covariance matrix of the clutter, are assumed to be known.
Gaia Rossetti, Sangarapillai Lambotharan
openaire +3 more sources
Advanced Intelligent Systems, EarlyView.This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Examination of the effect of array weighting function on radar target detectability [PDF]
, 2010 This paper describes a methodology to assess the detectability of targets by anairborne fire control radar operating in a medium PRF mode in the presence of strongground clutter as a function of the transmitting and receiving antenna array ...
Alabaster, Clive M. +3 more
core +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
Advanced Intelligent Systems, EarlyView.METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
物联网学报, 2023 Based on the same hardware platform, spectrum resources, and transmit waveforms, dual-function radar-communication (DFRC) can achieve radar and communication functions at the same time, which provides a strong support for realizing integrated sensing and
Yuefeng HOU +5 more
doaj +2 more sources
Monitoring and assessment for obstructive sleep apnea
FlexMat, EarlyView.This review systematically classifies Obstructive Sleep Apnea (OSA) monitoring indicators into three categories: physical, biochemical, and electrophysiological indicators, and lists several methods for each category. Abstract Obstructive sleep apnea (OSA) is a common chronic sleep‐disordered breathing disease characterized by recurrent upper airway ...
Yaowen Xu +6 more
wiley +1 more source
An Overview of Waveform Optimization Methods for Cognitive Radar
Leida xuebao, 2019 Cognitive radar can sense the battlefield environment and feed this information back to a transmitter by imitating the cognitive learning process of bats to enable self-adaptive detection and processing, which are vital for the future intelligent ...
CUI Guolong +4 more
doaj +1 more source
Waveform Selection for a Scanning Radar in the Maritime Environment
, 2021 Detection of slow moving targets for a scanning radar in the maritime domain is typically performed using noncoherent detectors with both pulse-to-pulse and/or scan-to-scan integration.
Rosenberg, L. +9 more
core +1 more source