Comments (3)
if this is the case then should tests not spot it? I would rather untested code is not in the release.
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I meant the formulas in the doxygen comments of dsp_statistics.h.
Have updated the title of this issue to be more clear.
The algorithms look correct. But the testing is against manually checked expected output rather than reference models which would be better.
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This is now fixed with the latest commit.
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Related Issues (20)
- FFT testing
- dsp_bfp documentation missing from rst
- dsp_bfp.h causes error when included by a C file HOT 2
- dsp_vector_abs often outputs negative numbers HOT 3
- dsp_vector_{muls_addv, muls_subv, mulv_addv, mulv_subv} do not give correct outputs for vector lengths > 7.
- Double-word alignment of inputs HOT 3
- xmake fails for app_vector HOT 1
- dsp_adaptive_nlms error when the input source_sample is a very low value
- DCT overflows rather than saturates
- Standardise naming convention + add regex regression tests
- Remove `_bfp` from functions that aren't BFP specific
- Add missing docstrings to api/dsp_bfp.h
- Simulator time-out in app_math tests
- Convert legacy tests to run with axe
- Extend non-XS1 processing to XS3 HOT 2
- tests/test_biquad does not build for xcore.ai
- tests/test_fft_forward does not build for xcore.ai HOT 1
- Some tests require autogenerated files and do not build for xcore.ai HOT 1
- tests/dsp_unit_tests cannot run under xcore.ai
- examples/AN00209 Application Note fails to build HOT 2
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