Jacob Beningo is an independent consultant and lecturer who specializes in the design of embedded software for resource constrained and low energy mobile devices. He has successfully completed projects across a number of industries including automotive, defense, medical and space. He enjoys developing and teaching real-time and reusable software development techniques using the latest methods and tools. He blogs for DesignNews.com about embedded system design techniques and challenges. Jacob holds Bachelor's degrees in Electrical Engineering, Physics and Mathematics from Central Michigan University and a Master's degree in Space Systems Engineering from the University of Michigan.
Tutorial: Modeling and Deploying DSP Algorithms to STM32 Microcontrollers using MatlabAvailable in 1 day, 21 hours and 24 minutes
The ability to model and simulate a digital signal processing (DSP) algorithm is critical to modern embedded systems. Unfortunately, many developers aren’t familiar with the techniques necessary to model and deploy their model to their target microcontroller. Instead, they lose valuable time by hand coding the algorithms.
In this session, we will show how to produce an embedded implementation of a DSP algorithm based on a simulation model written in MATLAB, and then deploy an algorithm to an embedded system. We’ll use the STM32 microcontroller family as an example.
This session will include:
- How to model a simple DSP algorithm.
- An example for simulating algorithm behavior.
- The process for deploying the model to a microcontroller target.
- Techniques to tie the model into existing embedded software.
- Tool and techniques that are available to developers to simplify development.
Live Q&A - Tutorial: Modeling and Deploying DSP Algorithms to STM32 Microcontrollers using MatlabAvailable in 1 day, 22 hours and 24 minutes
Live Q&A with Jacob Beningo for the talk titled Tutorial: Modeling and Deploying DSP Algorithms to STM32 Microcontrollers using Matlab
Running DSP Algorithms on Arm® Cortex®-M ProcessorsStatus: Available Now
The modern embedded system has many applications for digital signal processing (DSP), especially with the demand for intelligence on the end device and machine learning. DSP is an important tool for real-time embedded system engineers, critical for projects that require converting analog filter circuits into digital IIR or FIR filters, using Fast Fourier Transform (FFT) to observe a signal’s frequency component and even speech processing.
In this session, we will examine how attendees can speed development time with DSP software available through the Arm ecosystem, making DSP achievable in their own applications running on Arm Cortex-M based devices.
This session will include:
- How to use the free CMSIS-DSP library
- Examples for implementing FIR and IIR filters
- Using FFT to observe a signal’s frequency component
- Modern examples on how DSP is being applied to embedded systems
- Tool and techniques available to developers to speed up DSP implementations
Training and Deploying ML models to STM32 MicrocontrollersStatus: Available Now
Machine learning (ML) has often been considered a technology that operates on high-end servers and doesn’t have a place in traditional embedded systems. That perception is quickly changing. This workshop will explore how embedded software engineers can get started with machine learning for microcontroller based systems.
This session balances theory with practical hands-on experience using an STM32 development board.
Attendees will learn:
- How to collect and classify data
- Methods available to embedded developers to train a model
- Hands-on experience training a model
- How to convert a model to run on an STM32 MCU
- How to run an inference on a microcontroller
Additional details for development board and tools will be provided closer to the conference.
Live Q&A with Jacob Beningo - Running DSP Algorithms on Arm® Cortex®-M ProcessorsStatus: Available Now
Live Q&A with Jacob Beningo for his talk titled "Running DSP Algorithms on Arm® Cortex®-M Processors"