Titlebook: Design and Architectures for Signal and Image Processing; 17th International W Tiago Dias,Paola Busia Conference proceedings 2024 The Edito

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timate the scaling across both algorithmic parameters as well as parallelization when compared to measured data, with errors roughly in the 1–5% range, demonstrating its ability to inform design decisions.

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Wordlength Optimization for?Custom Floating-Point Systemsoptimize the exponent and mantissa wordlengths. These strategies take advantages of analyzing the data dynamic range to reduce the optimization time. The obtained results show that better implementation cost can be obtained compared to 16-bit floating-point for a same quality.

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sEMG-Based Gesture Recognition with?Spiking Neural Networks on?Low-Power FPGAer applications. Evaluation on the NinaPro DB5 dataset confirms an accuracy of 85.6%, demonstrating the model’s effectiveness. The power consumption for this architecture is approximately 1.7 mW, leveraging the inherent energy efficiency of SNNs for low-power classification.

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sEMG-Based Gesture Recognition with?Spiking Neural Networks on?Low-Power FPGAplex prosthetic devices and human-machine interfaces. This study presents a real-time sEMG classification system, exploiting a Spiking Neural Network (SNN) to distinguish among twelve distinct hand gestures. The system is implemented on a Lattice iCE40-UltraPlus FPGA, explicitly designed for low-pow

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Scalable FPGA Implementation of?Dynamic Programming for?Optimal Control of?Hybrid Electrical Vehicleany of these computations can be performed in parallel, FPGAs are an interesting platform for executing the dynamic programming algorithm. This paper presents a scalable architecture for performing dynamic programming on FPGAs using a pipelined model of a hybrid electric vehicle (HEV). The proposed

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Wordlength Optimization for?Custom Floating-Point Systemsions. In particular, they have caused a large increase in memory, execution time, and power needed. One solution to address those challenges is to reduce data sizes. Custom floating-point is a good candidate that brings a large dynamic range in a compact representation. Thanks to improvement in floa

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