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Found 9 papers, 0 papers with code
Optimized Parameter Design for Channel State Information-Free Location Spoofing
Numerical results are provided, validating the theoretical analysis and showing that the root-mean-square error for eavesdropper's localization can be more than 150 m with the optimized delay-angle shifts for DAIS.
Channel State Information-Free Location-Privacy Enhancement: Delay-Angle Information Spoofing
In this paper, a delay-angle information spoofing (DAIS) strategy is proposed for location-privacy enhancement.
Channel State Information-Free Location-Privacy Enhancement: Fake Path Injection
Two closed-form, lower bounds on the illegitimate devices' estimation error are derived via the analysis of the Fisher information of the location-relevant channel parameters, thus characterizing the enhanced location-privacy.
Channel State Information-Free Artificial Noise-Aided Location-Privacy Enhancement
In this paper, an artificial noise-aided strategy is presented for location-privacy preservation.
Weight-based Channel-model Matrix Framework provides a reasonable solution for EEG-based cross-dataset emotion recognition
Cross-dataset emotion recognition as an extremely challenging task in the field of EEG-based affective computing is influenced by many factors, which makes the universal models yield unsatisfactory results.
Joint Localization and Orientation Estimation in Millimeter-Wave MIMO OFDM Systems via Atomic Norm Minimization
Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) signals is presented.
Atomic Norm Based Localization and Orientation Estimation for Millimeter-Wave MIMO OFDM Systems
Herein, an atomic norm based method for accurately estimating the location and orientation of a target from millimeter-wave multi-input-multi-output (MIMO) orthogonal frequency-division multiplexing (OFDM) signals is presented.
A study of resting-state EEG biomarkers for depression recognition
Results: Functional connectivity feature PLI is superior to the linear features and nonlinear features.
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
The EEG dataset includes not only data collected using traditional 128-electrodes mounted elastic cap, but also a novel wearable 3-electrode EEG collector for pervasive applications.
