Lesson plan
SigMF
SigMF is a standard file format for storing and organizing digitized radio frequency (RF) signals and corresponding metadata, supporting time series real or complex-valued signals. A single SigMF "Recording" consists of two files: 1) a binary file containing only the time series digitized samples, and 2) a metadata file describing the contents and capture details of those samples. The metadata is encapsulated in a JSON file with a .sigmf-meta extension, situated alongside the binary data stored in a file with a .sigmf-data extension. SigMF "Extensions" enable the addition of hierarchical data to a complete dataset, a capture, or a specific region of the recording. Common applications of SigMF recordings include capturing wireless communications signals, radar, GNSS and electronic warfare.
Article summary
SigMF is a standard file format for storing and organizing digitized radio frequency (RF) signals and corresponding metadata, supporting time series real or complex-valued signals. A single SigMF "Recording" consists of two files: 1) a binary file containing only the time series digitized samples, and 2) a metadata file describing the contents and capture details of those samples. The metadata is encapsulated in a JSON file with a .sigmf-meta extension, situated alongside the binary data stored in a file with a .sigmf-data extension. SigMF "Extensions" enable the addition of hierarchical data to a complete dataset, a capture, or a specific region of the recording. Common applications of SigMF recordings include capturing wireless communications signals, radar, GNSS and electronic warfare.
Key claims
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
Bibliography
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Key claims and bibliography are generated from the same tracked claims and sources as the article page.