V0.4.2 #220
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V0.4.2 #220
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* Change README logo if in dark mode (#95) * Start transform tests & minor `RandomTimeShift` optimization (#94) * Start transform tests & slight optimization in RandomTimeShift * Add new length check for TimeCrop tests * Code style * Fixed name mangling. * QAM/PSK Pulse shaping filter transition bandwidth corrected (#98) * excess bandwidth is defined in porportion to signal bandwidth, not sampling rate, thus needs to be scaled by the samples per symbol * filling in a comment to describe modification to code * QAM/PSK Pulse shaping filter transition bandwidth corrected (#98) * excess bandwidth is defined in porportion to signal bandwidth, not sampling rate, thus needs to be scaled by the samples per symbol * filling in a comment to describe modification to code * OFDM Modulator filter lengths estimated and bandwidth randomized (#99) * * cutoff frequency for LPF now randomized when using 'rand_lpf' * derives a transition bandwidth from the cutoff frequency * uses filter length approximating function for the randomized LPF * using filter estimation function for pre-computed LPF taps * Tests for visual inspection. (#103) * 91 create generation performance benchmarks for each modulation type (#104) * Initial benchmarking code. * Some benchmarks * Adding initial benchmarks. * Fix action. --------- * 75 examine ofdm generation for potential speedups for sig53 (#105) * Tests for visual inspection of modulation generation. (#102) * Optimizations show significant improvement in generation speed. * Nominal behavior after using scipy. * Adding initial Dockerfile (#108) * Incrementing version * Fix float issue (#111) * Initial draft of restructuring transforms (#106) * Flatten transforms to mirror torchvision/audio structure & add reprs * Address flake8 errors * Update transform imports with restructuring * Formatting. --------- * Fixing broken examples, formatting files, etc. * Adjustments for generation speed * Wideband generation working. * 45 consider compatibility with torch 20 (#115) * Seems to work * Workflow is broken * Python 3.7 not supported for Torch 2.0 * Adjusting test workflow * Extracted out a method for filter design. Put DSP-only things in utils/dsp (#116) * Benchmark and visualize wideband dataset generation. (#118) * Extracted out a method for filter design. Put DSP-only things in utils/dsp * New tests. * Migrated to pytest. (#119) * Added model instantiation tests for narrowband signals. (#120) * 85 gmskgfsk also needs faster filtering due to convolution of long signals with gaussian pulse shape (#121) * Change all references to convolution to scipy-based convolutions. * Missed one. * Add mypy workflow check and fix all mypy-found bugs (#123) * Fix mypy in target_transforms * Add mypy workflow for static type checking * Fix typo in mypy.yml workflow * Fix mypy in torchsig/transforms/functional.py * Fix mypy in utils/types.py * Fix mypy in torchsig/utils/ * Fix mypy in torchsig/transforms/ * Fix mypy in torchsig/datasets/ * Fix mypy in torchsig/models/ * Format with pyfmt * Fix isinstance(x, Callable) * Add PR template * Adjusting module (#130) * 131 configure package for pypi release (#132) * Adjusting installation * More information on pyproject.toml * More information on pyproject.toml * I guess some keywords in current documentation do not work :/. * Ignore distributable artifacts * More documentation and examples (#134) * More documentation and examples * Added script to train * Remove duplicate script * 126 create dockerfile and script for generating all versions of widebandsig53 (#135) * Added generation script. * Adding scripts * Fixing mypy issue. * 127 create test suite for visually validating transforms (#136) * Some transforms here * Most transforms included --------- Co-authored-by: lboegner <luke.boegner@gmail.com> Co-authored-by: Garrett Vanhoy <gmvanhoy@gmail.com> Co-authored-by: MattCarrickPL <120057274+MattCarrickPL@users.noreply.github.com>
Updating path for generated datasets.
* Change README logo if in dark mode (#95) * Start transform tests & minor `RandomTimeShift` optimization (#94) * Start transform tests & slight optimization in RandomTimeShift * Add new length check for TimeCrop tests * Code style * Fixed name mangling. * QAM/PSK Pulse shaping filter transition bandwidth corrected (#98) * excess bandwidth is defined in porportion to signal bandwidth, not sampling rate, thus needs to be scaled by the samples per symbol * filling in a comment to describe modification to code * QAM/PSK Pulse shaping filter transition bandwidth corrected (#98) * excess bandwidth is defined in porportion to signal bandwidth, not sampling rate, thus needs to be scaled by the samples per symbol * filling in a comment to describe modification to code * OFDM Modulator filter lengths estimated and bandwidth randomized (#99) * * cutoff frequency for LPF now randomized when using 'rand_lpf' * derives a transition bandwidth from the cutoff frequency * uses filter length approximating function for the randomized LPF * using filter estimation function for pre-computed LPF taps * Tests for visual inspection. (#103) * 91 create generation performance benchmarks for each modulation type (#104) * Initial benchmarking code. * Some benchmarks * Adding initial benchmarks. * Fix action. --------- * 75 examine ofdm generation for potential speedups for sig53 (#105) * Tests for visual inspection of modulation generation. (#102) * Optimizations show significant improvement in generation speed. * Nominal behavior after using scipy. * Adding initial Dockerfile (#108) * Incrementing version * Fix float issue (#111) * Initial draft of restructuring transforms (#106) * Flatten transforms to mirror torchvision/audio structure & add reprs * Address flake8 errors * Update transform imports with restructuring * Formatting. --------- * Fixing broken examples, formatting files, etc. * Adjustments for generation speed * Wideband generation working. * 45 consider compatibility with torch 20 (#115) * Seems to work * Workflow is broken * Python 3.7 not supported for Torch 2.0 * Adjusting test workflow * Extracted out a method for filter design. Put DSP-only things in utils/dsp (#116) * Benchmark and visualize wideband dataset generation. (#118) * Extracted out a method for filter design. Put DSP-only things in utils/dsp * New tests. * Migrated to pytest. (#119) * Added model instantiation tests for narrowband signals. (#120) * 85 gmskgfsk also needs faster filtering due to convolution of long signals with gaussian pulse shape (#121) * Change all references to convolution to scipy-based convolutions. * Missed one. * Add mypy workflow check and fix all mypy-found bugs (#123) * Fix mypy in target_transforms * Add mypy workflow for static type checking * Fix typo in mypy.yml workflow * Fix mypy in torchsig/transforms/functional.py * Fix mypy in utils/types.py * Fix mypy in torchsig/utils/ * Fix mypy in torchsig/transforms/ * Fix mypy in torchsig/datasets/ * Fix mypy in torchsig/models/ * Format with pyfmt * Fix isinstance(x, Callable) * Add PR template * Adjusting module (#130) * 131 configure package for pypi release (#132) * Adjusting installation * More information on pyproject.toml * More information on pyproject.toml * I guess some keywords in current documentation do not work :/. * Ignore distributable artifacts * More documentation and examples (#134) * More documentation and examples * Added script to train * Remove duplicate script * 126 create dockerfile and script for generating all versions of widebandsig53 (#135) * Added generation script. * Adding scripts * Fixing mypy issue. * 127 create test suite for visually validating transforms (#136) * Some transforms here * Most transforms included * Fix path in generation script * Added dependencies in Docker (#141) * Removed use_gpu (#142) * Adjustments for dataset generation. * fixing syntax error, os.root is invalid, but os.path is valid (#147) * Working example notebooks * Working on another platofmr * Bumping version --------- Co-authored-by: lboegner <luke.boegner@gmail.com> Co-authored-by: Garrett Vanhoy <gvanhoy@peratonlabs.com> Co-authored-by: MattCarrickPL <120057274+MattCarrickPL@users.noreply.github.com>
modified: torchsig/transforms/transforms.py
* Fixing QA generation * Explicit module updates in dataset and transform RTD files * First attempts * Refactored to RandomDistribution * Final touches * Formatting --------- Co-authored-by: Luke Boegner <luke.boegner@gmail.com>
* New script and docs * Fixing mypy
…and instead recalculated internally * low_pass() now accepts the transition_bandwidth parameter
Fixing low_pass() transition_bandwidth parameter
* quantization now performed on real and imaginary levels independently, rather than the complex magnitude * Added eps * Removing bias. * Fixing quantize * Satisfying MyPy * Satisfying MyPy --------- Co-authored-by: Garrett Vanhoy <gmvanhoy@gmail.com>
* designing a filter for the roll_off() transform * pulling roll_off_filter() into transforms * updating wideband.py to use the new roll_off() transform * converting over tests to use the updated roll-off function * Adjusting coding style --------- Co-authored-by: Garrett Vanhoy <gmvanhoy@gmail.com>
* draft code which compares the existing resample_poly() implementation with a proposed LPF with lower cutoff frequency to avoid aliasing * * implements a better anti-aliasing filter * removing the previous debug plot code * Coding style --------- Co-authored-by: Garrett Vanhoy <gmvanhoy@gmail.com>
…) has an implicit anti-aliasing filter (#211) Co-authored-by: Garrett Vanhoy <gmvanhoy@gmail.com>
…disk space (#214) * Fixing QA generation * Explicit module updates in dataset and transform RTD files * Only reformatting.
* Adding an option to compress * Adding compression to Wideband
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