Notes on RF data workflows
Practical writing on signal data management, metadata, search, preview, compression, secure deployment, and the parts of RF workflows that break when captures get large.
RF fireworks for the Fourth of July
A lighter RF Data Note for America's 250th birthday: four signal visualizations that look a little like fireworks if you squint like an SDR person.
Compression is only useful if the workflow still works
Smaller IQ files help, but compression is useful only when teams can still search, preview, move, control, and analyze the data. Long-term archives and active RF workflows may need different compression choices.
Why spectrogram preview matters for large IQ datasets
Large IQ captures are expensive to move and slow to inspect. A spectrogram preview helps teams answer the first practical question before they download the whole file: is this capture worth opening?
The metadata RF teams wish they had six months later
Metadata feels like admin work during collection. Six months later, it is often the difference between reusing a valuable IQ capture and losing it inside the archive.
What should an RF data lake actually do?
An RF data lake should do more than store files. It should keep large captures, metadata, preview, access history, and analysis context connected so teams can use the data later.
Why shared drives and object storage are not enough for RF workflows
Shared drives and object storage can hold RF data, but storage alone does not preserve the context teams need to find, preview, govern, and reuse large IQ captures.
RF data is not ordinary file data
Large IQ captures carry value only when the context stays with them. Metadata, preview, access history, and analysis links matter as much as the file itself.
Working with large RF datasets?
We are looking for teams willing to compare notes on search, preview, compression, metadata, and secure RF data workflows.
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