TorchSig v0.3.0

What's Changed

• fixing FSK modulation issue by @MattCarrickPL in #23
• Fixing GFSK modulation by @MattCarrickPL in #29
• MSK Modulation Fix by @MattCarrickPL in #30
• Properly Randomize LPF for GFSK/GMSK Modulations by @MattCarrickPL in #33
• FSK/MSK modulator start at zero phase by @MattCarrickPL in #32
• Add sympy dependency by @awthomp in #34
• 44 create and automate test suite by @gvanhoy in #46
• 42 rrc pulse fixes by @gvanhoy in #50
• 38 automate dataset generation tests by @gvanhoy in #52
• No longer importing everything in init files. This will require u… by @gvanhoy in #53
• Upgraded build system by @gvanhoy in #54
• Updating README since requirements no longer exists. by @gvanhoy in #57
• Convert examples to scripts by @gvanhoy in #59
• Fix imports in Deep Learning Transforms by @gvanhoy in #62
• Introducing DatasetWriter/DatasetLoader/DatasetReader classes for parallelized loading/saving of seeded datasets by @gvanhoy in #67
• Fixing wideband generation notebook. by @gvanhoy in #72
• Making suggested fix to example for device consistency. by @gvanhoy in #73
• Fixed sig53 Train example. by @gvanhoy in #77
• Restoring DETR. Notebook runs in QA environment. by @gvanhoy in #78
• 66 review randomized pulse shaping for fsk-msk by @MattCarrickPL in #79
• Gvanhoy fix filter length by @gvanhoy in #84
• Initial removal of cupy as dependency. Replaced with torch. by @gvanhoy in #86
• Forcing a specific multi-processing context. by @gvanhoy in #88
• Keeping folder to avoid crashes. by @gvanhoy in #89
• Moving estimate_filter_length into datasets module by @gvanhoy in #90

New Contributors

• @MattCarrickPL made their first contribution in #23
• @awthomp made their first contribution in #34

Full Changelog: v0.2.0...v0.3.0

Wideband RFML

Wideband datasets, models, etc. (#21)

* Wideband extensions to TorchSig

* add missing req and update dataset init

* Adding necessary transforms and visualizations.

Co-authored-by: Luke Boegner <[email protected]>
Co-authored-by: Garrett Vanhoy <[email protected]>

v0.1.0

1. Generation of the Sig53 dataset with a fixed-random seed and associated transforms
2. Utilities for the creation of other synthetic datasets

What's Changed

• Fix documentation builds on RTD by @dicta in #1
• Adding missing impulsive interference function by @TorchDSP in #4
• Fix several imports and typing annotations by @dicta in #5
• Ensure AGC algorithm always has an initial level value by @dicta in #6
• Fix numpy typing (#9) by @sognefej in #10
• Renamed transform functionals to avoid overridden imports by @TorchDSP in #11

New Contributors

• @dicta made their first contribution in #1
• @TorchDSP made their first contribution in #4
• @sognefej made their first contribution in #10

Full Changelog: https://github.com/TorchDSP/torchsig/commits/v0.1.0