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- W3126299295 abstract "The paper discusses the use of affordable software-defined radio (SDR) platforms for measuring and characterizing man-made noise with impulsive components using Middleton noise models. For illustration, numerical results from a case study are presented, in which man-made noise is measured at three different locations corresponding to three distinct types of radio-frequency (RF) environments, and for which the parameters of the underlying Middleton Class A impulsive noise model are derived. The study demonstrates one of the many applications of SDR platforms, whose versatility enables dedicated noise measurements systems that can be configured through software." @default.
- W3126299295 created "2021-02-15" @default.
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- W3126299295 date "2020-01-01" @default.
- W3126299295 modified "2023-10-18" @default.
- W3126299295 title "Using Open-Source Software Defined Radio Platforms for Empirical Characterization of Man-Made Impulsive Noise" @default.
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- W3126299295 doi "https://doi.org/10.1109/memc.2020.9327997" @default.
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