Signal Processing

A dataset of Global Positioning System (GPS) spoofing attacks is presented in this article. This dataset includes data extracted from authentic GPS signals collected from different locationsto emulate a moving and a static autonomous vehicle using a universal software radio peripheral unit configured as a GPS receiver. During the data collection, 13 features are extracted from eight-parallel channels at different receiver stages (i.e., acquisition, tracking, and navigation decoding).

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This dataset is a collection of phase samples retrieved from an in-house design for a Bluetooth Low Energy (BLE) 5.1 based receiver, using an 8-element Uniform Circular Array (UCA). The purpose of the dataset was the implementation of localization techniques based on the use of Angle-of-Arrival data, possible due to the BLE 5.1 Direction Finding (DF) features. Specifically, the phase differences of a Constant Tone Extension (CTE) read from the different antenna elements can be used to retrieve the AoA of a received packet.

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Images with real ENF traces and related dataset for the paper named "Invisible Geolocation Signature Extraction From a Single Image" published in IEEE Transactions on Information Forensics and Security (T-IFS).

If you used our dataset, please cite our paper as:

J. Choi, C.-W. Wong, A. Hajj-Ahmad, M. Wu, and Y. Ren, "Invisible geolocation signature extraction from a single image," IEEE Transactions on Information Forensics and Security, pp. 2598–2613, Jun. 2022.

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Images with synthetic ENF traces and related dataset for the paper named "Invisible Geolocation Signature Extraction From a Single Image" published in IEEE Transactions on Information Forensics and Security (T-IFS).

If you used our dataset, please cite our paper as:

J. Choi, C.-W. Wong, A. Hajj-Ahmad, M. Wu, and Y. Ren, "Invisible geolocation signature extraction from a single image," IEEE Transactions on Information Forensics and Security, pp. 2598–2613, Jun. 2022.

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This dataset is in support of my research paper - Short Circuit Analysis of 666 Wh Li-Ion NMC

 Faults and datasets can be copied to submit in fire cause investigation reports or thesis. The simulation is run for 20 hours (72000 seconds) of simulation time for each fault of 100 faults. 

PrePrint : (Make sure you have read Caution.)

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1363 Views

A monitoring data, which includes several OTDR traces incorporating various types of fiber events (e.g. reflective, non-reflective, merged events) induced along an optical fiber link, is provided. Different fiber faults such as fiber cut, and fiber bend are modeled using optical components such as connectors and variable optical attenuators (VOAs). The data can be used to train machine learning models for solving fiber fault diagnosis problems. 

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175 Views

The monitored data is obtained using the optical time domain reflectometry (OTDR) principle, which is commonly used for troubleshooting fiber optic cables or links. The data set contains raw OTDR traces that include one or two reflective events caused by the placement of one or two reflectors and/or an open physical contact (PC) at the end of the monitored optical fiber link.

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247 Views

This dataset is for doa estimation when an amplitude-phase error exists.

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96 Views

This synthetic dataset is generated using Matlab automotive driving toolbox to simulate a 77GHz FMCW millimeter-wave radar sensing in the road scenario. Especially for the Doppler ambiguity case, when the object vehicles move within or out of the unambiguous detecable velocity range. The dataset contains in total 20 recordings with the duration of 1 second each. Both time-division modulation (TDM) and binary phase modulation (BPM) data are provided. Each recording consists of complex ADC raw data and complex range-Doppler map, together with the ground-truth range and velocity.

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The dataset contains recorded and synthesized ASMR audio clips, as well as their corresponding psychological survey results, see details in the linked paper

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