refraction
发表于 2025-3-25 05:59:38
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.
光亮
发表于 2025-3-25 08:18:19
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.
archetype
发表于 2025-3-25 14:26:09
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esthetician
发表于 2025-3-25 17:10:39
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.
vocation
发表于 2025-3-25 21:54:36
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前奏曲
发表于 2025-3-26 01:25:58
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nullify
发表于 2025-3-26 04:53:54
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
邪恶的你
发表于 2025-3-26 12:24:16
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
无法取消
发表于 2025-3-26 12:41:08
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
集合
发表于 2025-3-26 17:50:45
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