套件：python3-numpy-rms（0.6.0-1） [debports]
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.
其他與 python3-numpy-rms 有關的套件
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- dep: libc6.1 (>= 2.1.3)
- GNU C 函式庫：共用函式庫
同時作為一個虛擬套件由這些套件填實： libc6.1-udeb
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- dep: python3
- interactive high-level object-oriented language (default python3 version)