Research output per year
Research output per year
Description
The DeepRFSoC dataset provides raw in-phase and quadrature (I/Q) samples across eight modulation schemes for automatic modulation classification. The classes include: QPSK, BPSK, QAM16, QAM64, 8PSK, PAM4, GFSK, and CPFSK.
Signals were transmitted and recorded on the AMD RFSoC platform, capturing the real-world effects of its RF-ADC and RF-DAC hardware, including non-idealities.
The dataset also incorporates fading channels, timing offsets, and Doppler shifts, offering realistic conditions for developing and benchmarking deep learning models.
Documentation and usage guidelines are available on GitHub: https://github.com/axdy/rfsoc_quant_amc
[Note: the Title and Description fields for this record were updated at the request of the creator on 31/07/25]
Signals were transmitted and recorded on the AMD RFSoC platform, capturing the real-world effects of its RF-ADC and RF-DAC hardware, including non-idealities.
The dataset also incorporates fading channels, timing offsets, and Doppler shifts, offering realistic conditions for developing and benchmarking deep learning models.
Documentation and usage guidelines are available on GitHub: https://github.com/axdy/rfsoc_quant_amc
[Note: the Title and Description fields for this record were updated at the request of the creator on 31/07/25]
| Date made available | 2 May 2023 |
|---|---|
| Publisher | University of Strathclyde |
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RFSoC modulation classification with streaming CNN: data set generation & quantized-aware training
MacLellan, A., Crockett, L. H. & Stewart, R. W., 6 Jan 2025, In: IEEE Open Journal of Circuits and Systems. 6, p. 38-49 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)63 Downloads (Pure) -
Streaming Convolutional Neural Network FPGA architecture for RFSoC data converters
MacLellan, A., Crockett, L. H. & Stewart, R. W., 27 Jun 2023, p. 1-5. 5 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile
Projects
- 1 Finished
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Doctoral Training Partnership 2018-19 University of Strathclyde | MacLellan, Andrew
Stewart, R. (Principal Investigator), Crockett, L. (Co-investigator) & MacLellan, A. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/18 → 15/09/25
Project: Research Studentship - Internally Allocated