Dataset For "Assessing a new Frequency Modulation architecture for artificial large area skin-like sensory array deployment in robotic platforms"
Evaluation of FM architecture reconstruction accuracy at varying Frequencies using I/Q method. The data input is a constant sinusoildal for all channels from a function generator. The Hardware converted in FM and all channel where mixed together. The software reconstructed each signal tuning to individual channels.
Cite this dataset as:
Assaf, T.,
2022.
Dataset For "Assessing a new Frequency Modulation architecture for artificial large area skin-like sensory array deployment in robotic platforms".
Bath: University of Bath Research Data Archive.
Available from: https://doi.org/10.15125/BATH-01208.
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Data
DataFile_10hzft_rep.txt
text/plain (241MB)
Creative Commons: Attribution 4.0
Data collected with input at 10hz
DataFile_50hz_rep.txt
text/plain (120MB)
Creative Commons: Attribution 4.0
Data collected with input at 50hz
DataFile_100hz_rep.txt
text/plain (120MB)
Creative Commons: Attribution 4.0
Data collected with input at 100hz
Creators
Tareq Assaf
University of Bath
Contributors
University of Bath
Rights Holder
Documentation
Data collection method:
The data are a log from the acquisition/processing software.
Documentation Files
README.txt
text/plain (772B)
Creative Commons: Attribution 4.0
Additional Metadata
Metadata_10hzft_rep.txt
text/plain (792B)
Creative Commons: Attribution 4.0
Metadata for data collected with input at 10hz. This file shows the channel, time of collection, length and collection parameters.
Metadata_50hz_rep.txt
text/plain (445B)
Creative Commons: Attribution 4.0
Metadata for data collected with input at 50hz. This file shows the channel, time of collection, length and collection parameters.
Metadata_100hz_rep.txt
text/plain (445B)
Creative Commons: Attribution 4.0
Metadata for data collected with input at 100hz. This file shows the channel, time of collection, length and collection parameters.
Funders
University of Bath Alumni Fund
Publication details
Publication date: 7 October 2022
by: University of Bath
Version: 1
DOI: https://doi.org/10.15125/BATH-01208
URL for this record: https://researchdata.bath.ac.uk/id/eprint/1208
Related papers and books
Assaf, T., 2022. Assessing a new Frequency Modulation architecture for artificial large area skin-like sensory array deployment in robotic platforms. Array, 16, 100252. Available from: https://doi.org/10.1016/j.array.2022.100252.
Contact information
Please contact the Research Data Service in the first instance for all matters concerning this item.
Contact person: Tareq Assaf
Faculty of Engineering & Design
Electronic & Electrical Engineering
