Pacote: python3-numpy-rms (0.6.0-1 e outros)

[ Fonte: numpy-rms  ]

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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Download de python3-numpy-rms

Baixe para todas as arquiteturas disponíveis

Arquitetura	Versão	Tamanho do pacote	Tamanho instalado	Arquivos
amd64	0.6.0-1+b1	9.9 kB	41.0 kB	[lista de arquivos]
arm64	0.6.0-1	9.3 kB	93.0 kB	[lista de arquivos]
i386	0.6.0-1	9.3 kB	40.0 kB	[lista de arquivos]
ppc64el	0.6.0-1	9.6 kB	93.0 kB	[lista de arquivos]
riscv64	0.6.0-1	8.9 kB	36.0 kB	[lista de arquivos]
s390x	0.6.0-1	9.1 kB	36.0 kB	[lista de arquivos]