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  /external/autotest/client/cros/chameleon/
audio_test_utils.py 259 component in the spectral with frequency too
287 spectral = audio_analysis.spectral_analysis(
290 if not spectral:
296 logging.debug('Checking channel %s spectral %s against frequency %s',
297 test_channel, spectral, golden_frequency)
299 dominant_frequency = spectral[0][0]
338 spectral = [x for x in spectral if not should_be_ignored(x[0])]
340 if len(spectral) > 1:
341 first_coeff = spectral[0][1
    [all...]
  /external/autotest/client/cros/audio/
audio_analysis_unittest.py 42 """This unittest checks the spectral analysis works on real data."""
51 spectral = audio_analysis.spectral_analysis(
53 logging.debug('channel %s: %s', channel, spectral)
54 self.assertTrue(abs(spectral[0][0] - golden_frequency[channel]) < 5,
  /external/libvorbis/doc/
01-introduction.tex 184 submap's spectral floor and spectral residue vectors.
201 Vorbis encodes a spectral 'floor' vector for each PCM channel. This
206 spectral resolution.
231 The spectral residue is the fine structure of the audio spectrum
427 the resulting residue vectors represent the fine spectral detail
437 inverse coupling and applied to the spectral residue directly,
443 linear-domain spectral residue.
458 multiplication of the vectors is sufficient for acceptable spectral
07-floor1.tex 9 encode a spectral envelope curve. The representation plots this curve
20 Floor type one represents a spectral curve as a series of
28 full range of the spectral floor to be computed.
08-residue.tex 11 represent spectral lines, spectral magnitude, spectral phase or
06-floor0.tex 8 Vorbis floor type zero uses Line Spectral Pair (LSP, also alternately
9 known as Line Spectral Frequency or LSF) representation to encode a
10 smooth spectral envelope curve as the frequency response of the LSP
04-codec.tex 546 multiplication of the vectors is sufficient for acceptable spectral

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