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Pakket: python3-numpy-rms (0.6.0-1 en anderen)

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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.

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Pakket downloaden voor alle beschikbare platforms
Platform Versie Pakketgrootte Geïnstalleerde grootte Bestanden
alpha (unofficial port) 0.6.0-1 9,1 kB93,0 kB [overzicht]
amd64 0.6.0-1+b1 9,9 kB41,0 kB [overzicht]
arm64 0.6.0-1 9,3 kB93,0 kB [overzicht]
hppa (unofficial port) 0.6.0-1 9,3 kB36,0 kB [overzicht]
i386 0.6.0-1 9,3 kB40,0 kB [overzicht]
loong64 0.6.0-1 9,4 kB92,0 kB [overzicht]
m68k (unofficial port) 0.6.0-1 8,7 kB36,0 kB [overzicht]
ppc64 (unofficial port) 0.6.0-1 9,5 kB93,0 kB [overzicht]
ppc64el 0.6.0-1 9,6 kB93,0 kB [overzicht]
riscv64 0.6.0-1 8,9 kB36,0 kB [overzicht]
s390x 0.6.0-1 9,1 kB36,0 kB [overzicht]
sh4 (unofficial port) 0.6.0-1 9,3 kB92,0 kB [overzicht]
sparc64 (unofficial port) 0.6.0-1 8,9 kB1.053,0 kB [overzicht]