Choosing the Right Microcontroller for Your Next Project
Selecting the appropriate microcontroller is a critical step in developing any embedded system. With countless options on the market, engineers must weigh factors such as performance, power consumption, cost, and development ecosystem to make the best choice. Start by defining the requirements of your project: processing speed, memory size, I/O interfaces, and power budget. Consider […]
Optimizing Signal Processing with Deep Learning
Signal processing has traditionally relied on carefully designed filters and algorithms tuned for specific applications. Deep learning offers a transformative approach by automatically learning representations and operations directly from data, enabling more adaptive and accurate processing. Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) have been successfully applied to tasks such as noise reduction, […]
Integrating AI with FPGA: Trends and Challenges
The convergence of artificial intelligence and field-programmable gate arrays (FPGAs) is reshaping the landscape of high-performance computing. FPGAs provide customizable, energy-efficient hardware acceleration for AI workloads, enabling lower latency and greater parallelism compared to CPUs and GPUs. Recent trends include the development of optimized FPGA inference engines for neural networks, leveraging high-level synthesis tools to […]
Prototyping Embedded Systems: From Idea to Prototype
Prototyping is a critical phase in the development of embedded systems, enabling engineers to validate concepts, debug hardware-software interactions, and iterate quickly on design choices. This article walks you through the journey from an initial idea to a functional prototype, covering planning, selecting the right microcontroller or development board, and integrating sensors and peripherals. We […]
Designing High-Speed PCBs: Best Practices
High-speed printed circuit board (PCB) design is critical for ensuring signal integrity and reliable operation of modern electronics. In this article, we present best practices for designing PCBs that support high data rates and minimize electromagnetic interference. Topics include impedance control, differential pair routing, layer stack-up considerations, proper termination, and minimizing crosstalk. We also explore […]
Deep Unfolding Methods for Signal Processing
Deep unfolding (or unrolling) bridges the gap between iterative optimization algorithms and neural networks by mapping each algorithmic iteration to a network layer. In signal processing, this approach enables model-based learning that retains interpretability while benefiting from data-driven adaptation. In this article, we introduce the principles of deep unfolding for problems like sparse coding, denoising, […]
Harnessing FPGA for AI Acceleration
Field-programmable gate arrays (FPGAs) provide customizable hardware that can accelerate artificial intelligence workloads. In this article, we explore how FPGAs can boost performance and energy efficiency for machine learning applications, from convolutional neural networks to recurrent architectures. We also discuss development tools and frameworks such as High-Level Synthesis (HLS) and open-source libraries that make FPGA […]