Music-notes-detection VS qspectrumanalyzer

Anyways, if you want to play around with the idea, basic note recognition is actually pretty easy. You can simply go from frequency to note. To get the frequency, a popular way is via fourier transformation. If you want to go the easier route, find someone who's already done this and open-sourced it! I just did a quick search and landed on this GitHub project which looks to do exactly what I just suggested.

No. QSpectrumAnalyzer has some feature overlap and can use HackRF with hackrf_sweep or soapy_power.

Here is some good news though: There is a way work around this sampling rate restriction. Since you don't really care about the actual data, and you're more trying to just visualize the traffic, there is a special mode that HackRF's support called "sweep mode." In sweep mode, the HackRF will rapidly re-tune the antenna across a huge swath of the spectrum to give you a birds-eye-view of a much larger frequency range. Unfortunately, CubicSDR (and most other SDR software) does not support the HackRF sweep mode natively, so you'll need to use another tool, such as "qspectrumanalyzer" which supports this view. Qspectrumanalyzer is a python application that can interface with a HackRF and work in sweep mode, giving you a view 1 MHz - 6 GHz almost once per second. Granted, you'll want to tweak this down to just the 2.4 GHz range and play with the setting to get the view just right, but it should be possible to see what you're trying to see.

qspectrumanalyzer (https://github.com/xmikos/qspectrumanalyzer) will do this.

QSpectrumAnalyzer is an example of a tool that can make use of this.