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Project Description | Screenshot
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**[QRSS Spectrograph](/projects/18-01-14_qrss/)** produces spectrographs which are very large (thousands of pixels) and very high frequency resolution (fractions of a Hz) intended to be used to decode slow-speed (1 letter per minute) frequency-shifting Morse code radio signals, a transmission mode known as QRSS. While functional as it is, this project is intended to be a jumping-off point for anybody interested in making a feature-rich QRSS viewer.|![](/projects/18-01-14_qrss/screenshot_qrss.png)
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**[realtime audio spectrograph](/projects/18-01-11_microphone_spectrograph/)** listens to your default recording device (microphone or StereoMix) and creates a 2d time vs. frequency plot where pixel values are relative to frequency power (in a linear or log scale). This project is demonstrated in a YouTube video. This example is not optimized for speed, but it is optimized for simplicity and should be very easy to learn from.|![](/projects/18-01-11_microphone_spectrograph/spectrograph.gif)
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**[realtime audio level meter](/projects/18-01-09_microphone_level_meter/)** uses NAudio to provide highspeed access to the microphone or recording device. This project is a minimal-case project intended to remind the author how to effeciently interact with incoming audio data.|![](/projects/18-01-09_microphone_level_meter/screenshot.gif)
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**[realtime graph of microphone audio (RAW and FFT)](/projects/17-07-16_microphone/)** Here I demonstrate a minimal-case example using the interactive graphing framework (below) to display audio values sampled from the microphone in real time. FFT () is also calculated and displayed interactively. [See this project demonstrated on YouTube](https://youtu.be/qUlCImYOC8c). Audio capture is achieved with nAudio and FFT with Accord. See [FFT notes](/notes/FFT.md) for additional details. | ![](/projects/17-07-16_microphone/demo.gif)

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