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HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.

, , , , , , , , , and . ACM Trans. Embed. Comput. Syst., 20 (5s): 66:1-66:25 (2021)

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Implementation of a Spread-Spectrum-Based Smart Lighting System on an Embedded Platform., , and . ApplePies, volume 351 of Lecture Notes in Electrical Engineering, page 17-23. Springer, (2014)Improving Network-on-Chip-based Turbo Decoder Architectures., and . J. Signal Process. Syst., 73 (1): 83-100 (2013)Guest editorial: Special issue on intelligent embedded systems architectures and applications (INTESA)., and . Microprocess. Microsystems, (2020)RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks., , , , , and . CoRR, (2022)Implementation of a SPIHT coprocessor: memory issues and hardware implications., , , and . ICIP (2), page 587-590. IEEE, (2003)Error resilient JPEG2000 decoding for wireless applications., , , and . ICIP, page 2016-2019. IEEE, (2008)Embedded IWT evaluation in reconfigurable wireless sensor network., , , , and . ICECS, page 855-858. IEEE, (2002)Reconfigurable coprocessor based JPEG 2000 implementation., , , , and . ICECS, page 1227-1230. IEEE, (2001)JPEG 2000: finite precision representation and hardware implications., , , , and . ICECS, page 875-878. IEEE, (2001)CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor., , , , and . IJCNN, page 1-10. IEEE, (2021)