Comments (4)
Hi Jie-su,
Glad to hear you’re interested in Sig53 for your research!
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Sig53 and WidebandSig53 are two different datasets:
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Sig53 contains shorter examples of 4,096 IQ samples with a single signal class in each. This dataset is primarily meant to be used for signal classification research. More details on this dataset can be found in this paper: https://arxiv.org/pdf/2207.09918.pdf
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WidebandSig53, on the other hand, contains longer examples of 262,144 IQ samples with potentially multiple, non-overlapping (in time and frequency) signal classes present. This dataset is primarily meant to be used for signal detection & signal recognition research. More details on this dataset can be found in this paper: https://arxiv.org/pdf/2211.10335.pdf
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If using the SignalData object, the label for the WidebandSig53 dataset will be a list of SignalDescriptions, where each signal present in the data example has a SignalDescription element in the list. The WidebandSig53 dataset uses the DescToListTuple target transform at generation time, so when it is stored to disc, each example’s label is saved as a list of lists (rather than a list of SignalDescriptions), where the inner lists encompass the signal class, start, stop, center frequency, bandwidth, and SNR of each individual signal in the example.
Since I think the “issue” here is that we need better dataset documentation, I think we can close this as a duplicate of the existing issue @gvanhoy opened “Documentation: Better Dataset Documentation #18." Feel free to continue commenting with further questions in the meantime!
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Hi,
Thanks for your explanation.
But I can't see how to generate Sig53 from the documentation, so does it already released or not?
Thanks,
Jie
from torchsig.
Both datasets have been released. For examples and documentation on how to generate and use each dataset, check out the following notebooks in the examples directory:
- Sig53: https://github.com/TorchDSP/torchsig/blob/main/examples/00_example_sig53_dataset.ipynb
- WidebandSig53: https://github.com/TorchDSP/torchsig/blob/main/examples/03_example_widebandsig53_dataset.ipynb
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Thanks!
Jie
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Related Issues (20)
- Documentation Generation Fails "NameError: name '_C' is not defined"
- No Documentation for Creation of All Pretrained Models Found at https://torchsig.com/dist/downloads.html
- Quantize() to have broader range of levels HOT 1
- MDB_MAP_FULL trying to generate_sig53 HOT 3
- XCiT not working with different num_classes HOT 1
- Documentation on signal parameters for signal generation and create user friendly section to change parameters.
- Add np.kaiser window to spectrogram function
- Question about cupy and torch
- "pip install ." does not work with Python 3.10.12
- DescToBBoxSignalDict creates incorrect box. HOT 2
- iq_imbalance: dc offset is not calculated properly
- The problem of correspondence between the label of the spectrum chart and the mask coordinates
- Pretrianed models perform poorly
- Some signals seem to be divided into two parts HOT 1
- No documentation of creation for pre-trained models
- Invalid argument for DatasetCreator().__init__()
- NumPy 1.x cannot be run in NumPy 2.0.0 as it may crash; .../examples/00_example_sig53_dataset.ipynb HOT 2
- Can't load pretrained models anymore HOT 10
- len(sig53) | .../example/01_example_modulations_dataset.ipynb creates data.mdb file , but with zero items (len=0)
- pytest > collected 125 items / 1 error ; ImportError: cannot import name 'SignalDescription'
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