首页> 外文会议>8th Biennial Conference on Engineering Systems Design and Analysis 2006 vol.3 >IDENTIFICATION OF SPATIALLY EXTENDED POLLUTION SOURCES BY MEANS OF BLIND SOURCES SEPARATION ALGORITHMS
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IDENTIFICATION OF SPATIALLY EXTENDED POLLUTION SOURCES BY MEANS OF BLIND SOURCES SEPARATION ALGORITHMS

机译:通过盲源分离算法识别空间扩展污染源

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摘要

Blind Source Separation (BSS) is able to recover original source signals from their mixtures. Well-known sources are brain electric activity, acoustic phenomena, earthquakes. Here we apply BSS to air pollution analysis identificating gas emissions using only sensor measurements mutually and statistically independent. This application consents an independent, low cost and real time environmental monitoring system. Besides, a real-world pollution case from an industrial region of central Italy is presented and processed by BSS.
机译:盲源分离(BSS)能够从混合信号中恢复原始信号。众所周知的来源是脑电活动,听觉现象,地震。在这里,我们将BSS应用于空气污染分析,仅使用相互独立且统计独立的传感器测量值来识别气体排放。此应用程序同意使用独立的低成本实时环境监控系统。此外,BSS还展示并处理了来自意大利中部工业区的真实污染案例。

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