Optimizing FPGA-based Sparse Coding for Real-time Processing in X-ray Instrumentation-Reference-Cited by-同舟云学术

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Optimizing FPGA-based Sparse Coding for Real-time Processing in X-ray Instrumentation

Published:2023-11-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD)
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Author:

Ezzaoui Rahali H.¹,Rahimifar M. M.¹,Wang Z.²,Corbeil Therrien A.¹

Affiliation:

1. Université de Shebrooke,3IT - Institut Interdisciplinaire D'Innovation Technologique,Sherbrooke,Canada

2. Los Alamos National Laboratory,Subatomic Physics Group,Los Alamos,New Mexico,United States of America

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10337770/10337807/10338286.pdf?arnumber=10338286

Reference5 articles.

1. Billion-pixel x-ray camera (BiPC-X)

2. Real-time data acquisition for billion-pixel x-ray imaging;Ezzaoui Rahali

3. Learning Fast Approximations of Sparse Coding;Gregor

4. hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices;Fahim,2021

5. TRP: Trained Rank Pruning for Efficient Deep Neural Networks

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