Deploy Bandpass Filters Using the Wolfram Language

Wolfram Language Microcontroller Kit

Arduino IDE

Arduino Nano

USB-A to Mini-USB Cable

In this project I will analyze the responses of a bandpass Butterworth and Chebyshev1 filter deployed to an <a href="https://store.arduino.cc/usa/arduino-nano">Arduino Nano</a> from the <a href="https://www.wolfram.com/language/">Wolfram Language</a>.As these are analog filters, they need to be discretized before deployment. It is interesting to see in real-time how the frequency response of deployed filter closely matches that of the analog version.The frequency responses create a mental imagery of what the real-time responses of the filters would look like and how they would differ from each other. But I wanted to make it concrete. So I created a visualization juxtaposing the frequency responses of the analog filters and the real-time responses of discretized filters, to see both in real-time as I change the parameters of the input signals.In the first part, the filters are computed, analyzed, and deployed. In the second part, I acquire and analyze the filtered data to visualize the responses and evaluate the performance of the filters.All the computations and tasks are done using the Wolfram Language: I use its <a href="https://reference.wolfram.com/language/guide/SignalProcessing.html">signal processing</a> capabilities to compute and analyze the filters, the <a href="http://www.wolfram.com/language/12/microcontroller-kit/">Microcontroller Kit</a> to deploy the filters, the <a href="https://reference.wolfram.com/language/guide/UsingConnectedDevices.html">device framework</a> to do the data acquisition, and the <a href="https://reference.wolfram.com/language/guide/NotebookBasics.html">notebook interface</a> to visualize the data. <figure><img src=https://projects.arduinocontent.cc/1549a7de-7a07-4458-83f2-0109b7ed4717.gif /><figcaption>The results streaming in from the Nano</figcaption></figure>For the complete post please see this <a href="https://www.wolframcloud.com/obj/microcontroller.user/Published/BandPass_ArduinoNano.nb">cloud notebook</a>.

Deploy Bandpass Filters Using the Wolfram Language

Analyze the responses of a bandpass Butterworth and Chebyshev1 filter deployed to an Arduino Nano from the Wolfram Language.