tprocess¶
Implement blockwise processing in the time domain.
A signal processing block that allows for the selection of specific channels and time samples. |
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A signal processing class for detecting and analyzing trigger signals in time-series data. |
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Compute the rotational angle and RPM per sample from a trigger signal in the time domain. |
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A signal processing block that mixes multiple input channels into a single output channel. |
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Base class for spatial interpolation of microphone data. |
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Spatial interpolation class for rotating sound sources. |
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Performs spatial linear interpolation for sources undergoing constant rotation. |
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Mix signals from multiple sources into a single output. |
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Calculate the time-dependent power of a signal by squaring its samples. |
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Calculates the cumulative average of the signal. |
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Calculates the time-reversed signal of a source. |
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Abstract base class for IIR filters using SciPy's |
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Abstract base class for IIR filter banks based on |
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Octave or third-octave bandpass filter with zero-phase distortion. |
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Octave or third-octave bandpass filter (causal, with non-zero phase delay). |
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Compute an exponentially weighted moving average of the input signal. |
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Apply frequency weighting according to IEC 61672-1. |
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Octave or third-octave filter bank. |
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Saves time signal from one or more channels as mono, stereo, or multi-channel |
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Saves time signal data as a |
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Perform frequency domain convolution with the uniformly partitioned overlap-save (UPOLS) method. |