Next steps

This guide has explained you how to use the CMSIS-DSP with Biquad as examples. Now you can design your signal processing chain in SciPy and then convert it for use in CMSIS-DSP in Python. Once you get something working, you are ready to write the C version which will be very close to the Python code you have written.

After reading this guide, you are ready to get more details from the README file in the CMSIS-DSP folder.

This README will explain to you how other CMSIS-DSP APIs are represented in Python. For most of them, It is similar to what has been explained in this guide. For a few APIs, like the Matrix ones, there are a few differences to make the API easier to use from Python.

Thank you for reading our guide on using the CMSIS-DSP Python wrapper. We look forward to seeing all the cool stuff you will create with this Python wrapper and the CMSIS-DSP library.

If you have any questions when using the Python wrapper for CMSIS-DSP, please create a GitHub issue.