TorchSig

TorchSig is an open-source signals processing machine learning toolkit.

Contents:

• Datasets
  • Base Classes
  • Datamodules
• Signals
  • Signal Class Types
  • Signal Builders
  • Signal Lists
  • Signal Utilities
• Transforms
  • Transforms
  • Impairments
  • Functional Transforms
• Metadata Transforms
• Metadata Debugging
  • Explaining metadata resolution
  • Event logging
  • Correlation context
  • Completed metadata snapshots
  • DataModule and DataLoader pipelines
  • Examples
  • Value safety
• HDF5 Readers
  • Using a reader directly
  • Using StaticTorchSigDataset
  • Format compatibility
  • Reader details
• Contributing Transforms and Signal Builders
  • Development setup
  • Transforms
  • Signal builders
  • Review checklist
• Utilities
  • Digital Signal Processing Utils
  • Data Coordinate System
  • Reading/Writing Utils
  • Variable and Data Verification Utils
  • Printing Utils
  • Randomization Utils
• API
  • torchsig

Indices and tables

• Index

• Module Index