Package: wnpp Severity: wishlist Owner: Edward Betts <[email protected]>
* Package name : numpy-rms Version : 0.6.0 Upstream Author : Iver Jordal <[email protected]> * URL : https://github.com/nomonosound/numpy-rms * License : MIT Programming Lang: Python Description : 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. This library is a dependancy of Home Assistant, the Python smart home platform. I plan to maintain it as part of the Home Assistant team.
