dspeed 1.5.0

Description:

dspeed 1.5.0

DSPeed
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DSPeed (pronounced dee-ess-speed) is a python-based package that performs bulk,
high-performance digital signal processing (DSP) of time-series data such as
digitized waveforms. This package is part of the
pygama scientific computing suite.
DSPeed enables the user to define an arbitrary chain of vectorized signal
processing routines that can be applied in bulk to waveforms and other data
provided using the
LH5-format. These
routines can include numpy
ufuncs, custom functions
accelerated with numba, or other arbitrary
functions. DSPeed will carefully manage file I/O to optimize memory usage and
performance. Processing chains are defined using highly portable JSON files
that can be applied to data from multiple digitizers.
See the online documentation for
more information.
If you are using this software, consider
citing!