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Feature/fractional oct smoothing #16

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New pull request:
Updated apply() methods include a pure python loop method and a cython loop method.

This reverts commit bddc79c.
Konstruktor & Docs angefangen.
…com:linus-nb/pyfar into feature-fractional-octave-smoothing
…com:linus-nb/pyfar into feature-fractional-octave-smoothing
Edited gitignore
Bug fixed in calc_integration_limits
new test for limit computation
Edited apply() method:
padding of signal by mean,
added dimensions for channels
Removed old integration limit test
Test for calc_limits improved
Added wrapper function to convert polar to cartesian cmplx. numbers.
Added test for singal smoothing, not completed.
Added docs.
linus-nb added 7 commits March 2, 2021 18:46
changed apply method to new version with loop,
tested new apply method
Updated dsp.fract_oct_smooth.
Added mean padding to new apply method, added padding_type setter.
Added new fixtures to tests,
added test for data_padder, padding handling and smoothing.
added multiprocessing benchmark script,
edit in presentation script
@linus-nb linus-nb added enhancement New feature or request dsp labels Mar 19, 2021
@linus-nb linus-nb requested a review from f-brinkmann March 19, 2021 14:01
linus-nb and others added 18 commits March 19, 2021 15:02
moved array allocation outside loop.
moved cloop and python loop method into single apply method,
added file for benchmarking python and c loop method,
added python notebook for presentation
added benchmark scripts,
edited c loop
changed cython function
added parallel version of c method,
fixed tests
added image for presenation,
edited dsp method,
changed default computation method
addded some chapters in presentation notebook,
updated to dos
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3 participants