**.mat

The file “marine_data.mat” is the data from the marine experiment, including data from different navigation and positioning sensors. The file “lake_data.mat” is the data from the lake experiment, including data from different navigation and positioning sensors.

 

The meaning and explanation for each column in the file “lake_data.mat” is shown as below:

Acc_x is the x-axis acceleration of the surface vehicle.

Acc_y is the y-axis accelerationof the surface vehicle.

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While functional near-infrared spectroscopy (fNIRS) had previously been suggested for major depressive disorder (MDD) diagnosis, the clinical application to predict antidepressant treatment response (ATR) is still unclear. To address this, the aim of the current study is to investigate MDD ATR using fNIRS and micro-ribonucleic acids (miRNAs). Our proposed algorithm includes a custom inter-subject variability reduction based on the Principal Component Analysis (PCA).

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199 Views

This letter presents an effective digital passive intermodulation (PIM) cancellation technique for multi-band multiple-input multiple-output frequency-division duplexing radios for 5G and beyond. We begin by introducing a universal PIM signal model for multi-band radios with an arbitrary number of transmit--receive antennas, which enables the calculation of basis functions at all intermodulation frequencies. After establishing this signal model, a comparative analysis of state-of-the-art behavioral models is conducted in the context of PIM modeling.

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114 Views

This radar raw datasets are collected with the FMCW radar system --- PARSAX in Delft University of Technology, the Netherlands. Two datasets are included, in which one is the echo scattered from a stationary industrial chimney and the other one is the echo of rain droplets.  The radar echo of chimney was acquired in one FMCW signal sweep. And the echo of the rain droplets was measured over 512 sweeps, which can be used for both range profile and range-Doppler processing. In both radar datasets, the echoes of targets were contaminated by interferences.

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415 Views

This dataset acompanies our article titled "Insights into traditional Large Deformation Diffeomorphic Metric Mapping and unsupervised deep-learning for diffeomorphic registration and their evaluation", Computers in Biology and Medicine, 2024. This paper explores the connections between traditional Large Deformation Diffeomorphic Metric Mapping methods and unsupervised deep-learning approaches for non-rigid registration, particularly emphasizing diffeomorphic registration.

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271 Views

Traditional authentication models are vulnerable to security breaches when personal data is exposed. This study introduces novel hybrid visual stimuli protocols integrating event-related potentials (ERP) and steady-state visually evoked potentials (SSVEP) to develop an authentication system that enhances both performance and personalization in neural interfaces. Our model utilizes distinctive neural patterns elicited by a range of visual stimuli based on 4-digit numbers, such as familiar numbers (personal birthdates, excluding targets), standard targets, and non-targets.

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This dataset abstract presents findings from a study focused on enhancing surface crack detection in railroad safety through the development and optimization of a hybrid Eddy Current Testing (ECT) probe. Traditional ECT methods often encounter challenges related to 'lift-off noise', which arises from variations in probe-to-material distances. To mitigate this issue, the study introduces a novel probe design that integrates transmit and differential receiver coils, aimed at improving detection sensitivity and minimizing lift-off impact.

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249 Views

Dataset used to extract channel model parameters such as delay and Doppler from satellite passes. It has 100 user spread on Earth, and per user it is simulated 10 minutes of Starlink satellites passes, The information stored is the UE position, and the satellite speed and position in ECEF coordinates with 1 second of temporal resolution. It can be used to generate Doppler/delay curves to apply to a wireless channel model.

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221 Views

This dataset was obtained from the ionogram at Kupang in 2022 to investigate the frequency window of the Near Vertical Incidence Skywave (NVIS) channel with homogenous Time of Flight (ToF) values. All data is in the form of.mat files (MATLAB). The first dataset is in Matlab variables ('DataWidthFrekHourly','DataCenterWidthFrekHourly'), which consist of maximum window frequency values with homogenous ToF and the center frequency of the widest window. The structure of the data array is 96x365, with the row as the time (1:96) and the column as the day in one year (1:365).

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This dataset contains LTE access signals (PRACH) emitted by 7 mobile phones and 1 USRP B205 software defined radio platform equipment. Files are stored in MAT form that can be read by MATLAB. The dataset of the mobile phone includes data from 3 different locations (\dif_loc), 3 different test times (\dif_date), and 3 different power-on times (\dif_working). The software defined radio platform equipment dataset consists of 3 datasets at different locations and 3 different test times.

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279 Views

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