Pakket: python3-numpy-rms (0.6.0-1 en anderen)
Verwijzigingen voor python3-numpy-rms
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Het bronpakket numpy-rms downloaden:
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Externe bronnen:
- Homepage [github.com]
Vergelijkbare pakketten:
fast root mean square calculation for NumPy arrays
This library provides a fast implementation of root mean square (RMS) calculations for NumPy arrays. It computes RMS values over fixed-size windows and returns the resulting series.
The function operates on one-dimensional or two-dimensional float32 arrays stored in contiguous memory. Given an input array and a window size, it calculates the RMS value for each window, producing a sequence of RMS values. This is useful for summarising signal magnitude over time or across grouped samples.
The implementation is written in C and includes architecture-specific optimisations for x86-64 (AVX) and ARM (NEON) systems, allowing efficient processing of large arrays where repeated RMS calculations would otherwise be costly.
The module focuses on a single task: efficient RMS computation for NumPy array data. It does not attempt to provide a full signal-processing framework.
Andere aan python3-numpy-rms gerelateerde pakketten
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- dep: libc6 (>= 2.4)
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
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- dep: python3
- interactive high-level object-oriented language (default python3 version)