Frequency estimation
The Excel file contains samples of a laboratory-generated noisy voltage signal with a dc component under nonideal sampling.
This test signal is generated in a laboratory for assessing power frequency estimation algorithms.
The first column represents the sample time.
The second column represents the voltage signal samples.
The reference fundamental frequency is 46 Hz.
The nominal voltage amplitude is 10 V.
The actual sampling rate varies in the range of 9.99834~10.01027 kHz.
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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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232 Views
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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Underactuated Cable-Driven Parallel Robots (CDPR) employ a number of cables smaller than the degrees of freedom (DoFs) of the end-effector (EE) that they control. As a consequence, the EE is underconstrained and preserves some freedoms even when all actuators are locked, which may lead to undesirable oscillations. This paper proposes a methodology for the computation of the EE natural oscillation frequencies, whose knowledge has proven to be convenient for control purposes.
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This dataset contains the numerical results and Excel graphing used to create the results images in the main paper.
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353 Views