#1391

[@mostlypostie1]

Thank you for this video. Whenever I have a question about something in my little hobby home lab, I can rest assured that you're going to have the answer for me. Cheers!

[@johnnorton6085]

Thank you for the class room.

[@anthon5504]

thanks, i was indeed thinking what the different modes do

[@jms019]

No mention of the averaging it does over time which is apparent with the jump in noise whenever you change modes.

[@derdoktor7123]

Tank you, very interesting and helpful explanation. But you could use the trace functions to show the different detect modes overlayed on one screen.

[@Manf-ft6zk]

To make use of the display functions and the adjustable resolution bandwidth how about separating a constant signal from the noise in the case of a satellite LNA. It has a crystal stabilized oscillator and a binary divider. That binary divider delivers a rather low power but very characteristic spectrum to the output with many lines of different intensity which is interesting to observe and to analyze going deeper and deeper into it.

[@jspencerg]

Normal looks like the noise floor in my old HP SA. I think normal best represents inherent uncertainty.

[@galileo_rs]

According to this, if I export the raw data from the SA I will get 1024 "pixels"?

[@IMSAIGuy]

no, the data will be a string of data, sample points, the number of points may or may not be the number of display pixels

[@galileo_rs]

@@IMSAIGuy Can it be greater than the number of pixels?

[@IMSAIGuy]

@@galileo_rs yes, depends on the system

[@galileo_rs]

@@IMSAIGuy So if it is not dependent of the resolution of the screen what does it depend on?

[@IMSAIGuy]

@@galileo_rs imagine an oscilloscope with 1 million point depth, very common. the display is a subset of the data and you can zoom and move around. so the spectrum analyzer may have many more samples in memory also. I think it is more common that the data output is exactly the same as the display resolution.

[@bobdoritique7347]

Merci. Interesting.

[@jameshisself9324]

Pixels? It seems you are discussing sampling rates. Pixels are image resolution (not sample resolution) and that is just going to confuse people.

[@IMSAIGuy]

Each value on the screen divided by pixel count contains many samples that are used to get a peak or ave for each point

[@jameshisself9324]

@@IMSAIGuy I understand what you mean, I'm concerned that others won't. Using accurate terminology is important to avoid confusing people that are still learning about this. But hey, you made a video about it and that is good and more than most of us have done.