PySensors：用于稀疏传感器放置的Python包
PySensors: A Python Package for Sparse Sensor Placement
摘要：
PySensors是一个Python包，用于选择和放置稀疏的传感器集，用于分类和重建任务。具体来说，PySensors实现了数据驱动的稀疏传感器布局优化重建（SSPOR）和稀疏传感器布局优化分类（SSPOC）算法。在这项工作中，我们简要描述了稀疏传感器优化的数学算法和理论，以及PySensors中实现的功能的概述和演示（带有代码示例）。我们还为用户提供了实用的建议，以及PySensors的潜在扩展列表。软件可在https://github.com/dynamicslab/pysensors上获得。
英文摘要：
PySensors is a Python package for selecting and placing a sparse set of sensors for classification and reconstruction tasks. Specifically, PySensors implements algorithms for data-driven sparse sensor placement optimization for reconstruction (SSPOR) and sparse sensor placement optimization for classification (SSPOC). In this work we provide a brief description of the mathematical algorithms and theory for sparse sensor optimization, along with an overview and demonstration of the features implemented in PySensors (with code examples). We also include practical advice for user and a list of potential extensions to PySensors. Software is available at https://github.com/dynamicslab/pysensors.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
