TorchSig v0.6.0

• New signals added (53 → 61 total signals)
  • New signals:
    • FM (frequency modulation)
    • AM-DSB (amplitude modulation, double side band, with carrier)
    • AM-DSB-SC (amplitude modulation, double side band, suppressed carrier)
    • AM-LSB (amplitude modulation, lower side band)
    • AM-USB (amplitude modulation, upper side band)
    • Chirp Spread Spectrum
    • Linear Frequency Modulated Data (LFM-Data, both up and down chirps)
    • Linear Frequency Modulated Radar (LFM-Radar, up-chirps only)
• Refactored 53 out of dataset names and codebase
  • Sig53 → Narrowband
  • WidebandSig53 → Wideband
• Datasets, transforms, example notebooks, ect. updated with new classes listed in torchsig/datasets/signal_classes.py
• Removed iq_samples_per_symbol from metadata
• Optuna integration
  • examples/08_example_optuna_yolo.ipynb
• Synthetic spectrogram image dataset improvements
  • examples/09_example_synthetic_spectrogram_dataset.ipynb: Generating and using synthetic spectrograms.
  • examples/10_example_yolo_annotation_tool.ipynb: New feature to draw SOI bounding boxes in Jupyter notebooks.
  • Spectrogram wideband texturing
• Bug Fixes
  • Narrowband dataset crashing due to Transforms
  • RandomResample
  • Frequency Hopper
  • Normalize
  • Transition bandwidth calculations
• Documentation
  • gr-spectrumdetect README
    • detect.pt also attached to release if needed.
  • README has minimum/recommended specifications
• Python >= 3.9