CNN Acceleration With Hardware-Efficient Dataflow for Super-Resolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3031055
Abstract: The convolutional neural network (CNN)-based super-resolution (SR) has shown outstanding performance in the field of computer vision. The implementation of inference hardware for CNN-based SR has suffered from the intensive computation with severely unbalanced computation… read more here.
Keywords: efficient dataflow; hardware efficient; hardware; cnn based ... See more keywords
Hardware-Efficient Adaptive Equalization and Carrier Phase Recovery for 100-Gb/s/λ-Based Coherent WDM-PON Systems
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Lightwave Technology"
DOI: 10.1109/jlt.2017.2784804
Abstract: We propose a 100-Gb/s/λ-based coherent wavelength division multiplexing passive optical network system with a hardware-efficient digital signal processing (DSP), which features a new adaptive equalization (AEQ) and carrier phase recovery (CPR). While a conventional AEQ… read more here.
Keywords: phase; 100 based; based coherent; hardware efficient ... See more keywords
Hardware-Efficient SoftMax Architecture With Bit-Wise Exponentiation and Reciprocal Calculation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2024.3443270
Abstract: The SoftMax function is one of the activation functions used in deep neural networks (DNN) to normalize input values to the range of (0,1). With the advent of DNN models including the Transformer, operations utilizing… read more here.
Keywords: hardware; bit wise; bit; softmax architecture ... See more keywords
QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2025.3578379
Abstract: Implicit Neural Representations (INRs) encode discrete signals continuously while addressing spectral bias through activation functions (AFs). Previous approaches mitigate this bias by employing complex AFs, which often incur significant hardware overhead. To tackle this challenge,… read more here.
Keywords: hardware; implicit neural; quadinr hardware; activation ... See more keywords
A Secure Computing System With Hardware-Efficient Lazy Bonsai Merkle Tree for FPGA-Attached Embedded Memory
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Dependable and Secure Computing"
DOI: 10.1109/tdsc.2023.3324935
Abstract: With high-impact cyber-attacks on the rise, provisioning cybersecurity to the emerging Internet of Things (IoT) systems typically comprising of modern embedded computing platforms becomes significantly more challenging to achieve. Contemporary secure-memory computing stipulates both content… read more here.
Keywords: system; memory; secure; bonsai merkle ... See more keywords
A New Hardware-Efficient Spectrum-Sensor VLSI Architecture for Data-Fusion-Based Cooperative Cognitive-Radio Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2021.3055344
Abstract: This article presents a hardware-friendly algorithm and architecture for cooperative spectrum sensing (CSS) in the data-fusion-based cognitive-radio (CR) network. The proposed VLSI-algorithm is based on the iterative power method and deflation technique that alleviate the… read more here.
Keywords: tex math; data fusion; hardware efficient; architecture ... See more keywords
C-band 100-GBaud/λ PAM-4 transmission enabled by hardware-efficient nonlinear equalizer with weight-sharing pruning.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.477320
Abstract: A Volterra nonlinear equalizer (VNLE) can effectively mitigate both linear and nonlinear impairments arising in intensity-modulation direct-detection (IM-DD) transmission systems. However, the high computational complexity of the VNLE hinders its applications. Here, we propose a… read more here.
Keywords: equalizer; nonlinear equalizer; equalizer weight; transmission ... See more keywords
Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.781786
Abstract: With recent advances in the field of artificial intelligence (AI) such as binarized neural networks (BNNs), a wide variety of vision applications with energy-optimized implementations have become possible at the edge. Such networks have the… read more here.
Keywords: cnn architectures; hardware; stochastic binary; efficient stochastic ... See more keywords
A Hardware-Efficient Vector Quantizer Based on Self-Organizing Map for High-Speed Image Compression. Appl. Sci. 2017, 7, 1106
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9071377
Abstract: We, the authors, wish to make the following corrections to our published paper [...] read more here.
Keywords: vector quantizer; hardware efficient; based self; efficient vector ... See more keywords