Design of an electronic circuit for loudspeaker real-time digital signal processing
Oliver Munroe (LAUM), Stephane Letourneur (LAUM), Antonin Novak (LAUM)

TL;DR
This paper presents the design and comparison of electronic boards based on Teensy 3.6 for real-time digital signal processing in loudspeaker correction, emphasizing hardware implementation and basic coding without detailing the nonlinear compensation algorithms.
Contribution
It introduces two hardware solutions for real-time audio processing using Teensy 3.6, facilitating research in loudspeaker nonlinearities correction.
Findings
Two hardware solutions with and without an Audio board are proposed.
The designs are based on Teensy 3.6 microcontroller, compatible with Arduino IDE.
Basic code implementations for real-time processing are provided.
Abstract
In modern audio systems, real-time digital signal processing algorithms are widely used for a variety of applications. The possibility of using a simple electronic circuit for variety of research projects has shown remarkable potential and is gradually attracting more and more attention from researchers and engineers. This contribution describes a design of such a board used in the framework of a PhD thesis whose subject is centred on the real-time correction of loudspeaker nonlinearities. The solution chosen in this work is based on a Teensy 3.6 microcontroller which is easy to program using the Arduino IDE and the libraries provided by Teensy. Two solutions are provided : one with an Audio board available on the market and another with a homemade board. Both solutions contain two inputs and at least one output (all 16 bits). This contribution does not detail the compensation algorithm…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSensor Technology and Measurement Systems · Advanced Adaptive Filtering Techniques
