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ORCIDDASIP 2022: Budapest, Hungary
- Karol Desnos
, Sergio A. Pertuz:
Design and Architecture for Signal and Image Processing - 15th International Workshop, DASIP 2022, Budapest, Hungary, June 20-22, 2022, Proceedings. Lecture Notes in Computer Science 13425, Springer 2022, ISBN 978-3-031-12747-2
Software and Architecture for Telecommunication Systems
- Bertrand Le Gal, Vincent Pignoly, Christophe Jégo:
High-Performance Gallager-E Decoders for Hard Input LDPC Decoding on Multi-core Devices. 3-15 - Oualid Mouhoubi, Charbel Abdel Nour, Amer Baghdadi:
Low Latency Architecture Design for Decoding 5G NR Polar Codes. 16-28 - Camille Monière, Bertrand Le Gal, Emmanuel Boutillon:
Efficient Software and Hardware Implementations of a QCSP Communication System. 29-41
Towards Lightweight Deep-Learning Techniques
- Paola Busia, Ilias Theodorakopoulos, Vasileios K. Pothos, Nikos Fragoulis, Paolo Meloni:
Dynamic Pruning for Parsimonious CNN Inference on Embedded Systems. 45-56 - Pouya Shiri, Amirali Baniasadi:
DL-CapsNet: A Deep and Light Capsule Network. 57-68 - Petr Dobiás, Thomas Garbay, Bertrand Granado, Khalil Hachicha, Andréa Pinna:
Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU. 69-80
Design Automation and Optimization Techniques for Embedded Hardware and Software
- Alexandre Honorat, Thomas Bourgoin, Hugo Miomandre, Karol Desnos, Daniel Ménard, Jean-François Nezan:
Influence of Dataflow Graph Moldable Parameters on Optimization Criteria. 83-95 - Alexis Duhamel, Sébastien Pillement:
QoS Aware Design-Time/Run-Time Manager for FPGA-Based Embedded Systems. 96-107 - Sofiane Bessaï, Dorra Ben Khalifa, Hanane Benmaghnia, Matthieu Martel:
Fixed-Point Code Synthesis Based on Constraint Generation. 108-120
Optimized Hardware and Software Implementations for Image Processing and Health Applications
- Manuel Villa, Jaime Sancho, Guillermo Vázquez, Gonzalo Rosa, Gemma Urbanos, Alberto Martín-Pérez, Pallab Sutradhar, Rubén Salvador, Miguel Chavarrías, Alfonso Lagares, Eduardo Juárez, César Sanz:
Data-Type Assessment for Real-Time Hyperspectral Classification in Medical Imaging. 123-135 - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Inés del Campo:
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems. 136-148 - Matteo Antonio Scrugli, Bojan Blazica, Paolo Meloni:
An Adaptable Cognitive Microcontroller Node for Fitness Activity Recognition. 149-161 - Dominika Przewlocka-Rus, Tomasz Kryjak:
Towards Real-Time and Energy Efficient Siamese Tracking - A Hardware-Software Approach. 162-173
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