Results 61 to 70 of about 9,877,522 (229)
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
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Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
Adaptive waveform design for imaging MIMO radar systems
, 2022 6 S.One limitation of MIMO imaging radar systems is the waveform diversity available for the transmitters. Indeed, different properties for the transmitted signals, such as orthogonality and Doppler tolerance, are required in order to obtain good imaging
Cerutti-Maori, D., Riche, V., Klare, J.
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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 Discovery, EarlyView.Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
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
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
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
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
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