pull/14/head
Ewald de Wit 2022-10-02 14:00:36 +02:00
rodzic 7b41e81d3e
commit 423cbbddd2
2 zmienionych plików z 6 dodań i 5 usunięć

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@ -284,13 +284,13 @@ The default is to create a phase-neutral (aka linear-phase)
impulse response. It's also possible to create a minimum-phase response.
Even everything in between is possible. This is done with the **Causality**
parameter, where 0% is phase-neutral and 100% is minimum-phase.
Varying the causality smoothly transitions between the extremes:
By varying the causality a smooth transition between the extremes is made:
.. image:: images/causality-waveform.png
The latency decreases proportional to the causality.
At 100% the response becomes zero-latency and purely causal, where only the current
and later sound samples are used. The pre-echo is eliminated at the price of
and past sound samples are used. The pre-echo is eliminated at the price of
twice the post-echo.
Note that despite the name of "minimum-phase"
this setting actually incurs the most phase distortion, which can get severe with

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@ -153,7 +153,8 @@ class Analyzer:
"""Interpolated target curve."""
return self.interpolateCorrection(self._target)
def interpolateCorrection(self, corr: Correction) -> Optional[np.ndarray]:
def interpolateCorrection(
self, corr: Optional[Correction]) -> Optional[np.ndarray]:
"""
Logarithmically interpolate the correction to a full-sized array.
"""
@ -244,7 +245,7 @@ class Analyzer:
dbRange: Maximum attenuation in dB (power).
kaiserBeta: Shape parameter of the Kaiser tapering window.
smoothing: Strength of frequency-dependent smoothing.
causality: 0 = linear-phase a-causal, 1 = minimal-phase causal.
causality: 0 = linear-phase a-causal, 1 = minimum-phase causal.
"""
freq, H2 = self.H2(smoothing)
# Apply target curve.
@ -411,7 +412,7 @@ def transform_causality(x: np.ndarray, causality: float = 1) -> np.ndarray:
the given impulse.
Params:
causality: 0 = linear-phase, 1 = minimal-phase and
causality: 0 = linear-phase, 1 = minimum-phase and
in-between values smoothly transition between these two.
https://www.rle.mit.edu/dspg/documents/AVOHomoorphic75.pdf