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Query: appliance identification
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Demonstrates the application of Software-Defined Radios (SDRs) as effective tools for conducting Radio Frequency Interference (RFI) site surveys. The resource details the methodology for capturing and analyzing RFI, specifically focusing on the 80-meter band over a 24-hour period. It outlines the setup of an SDR-based survey tool, utilizing software like _S-Meter Lite_ and _Spectrum Lab_ to visualize and quantify noise sources. The article emphasizes the SDR's wideband capabilities, which allow for comprehensive identification and documentation of RFI across broad frequency ranges, crucial for effective mitigation strategies. The analysis presents practical results, illustrating how continuous monitoring can reveal intermittent RFI sources that might otherwise go undetected. For instance, the survey identified noise peaks exceeding **S9+20dB** on 80 meters during specific hours, correlating with local appliance usage. The methodology provides a repeatable process for hams to characterize their local noise floor, enabling targeted RFI suppression efforts and improving weak-signal reception, particularly for DXing and contesting.