Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.012
Abstract: Convolutional neural network (CNN) has been widely used for vision-based tasks. Due to the high computational complexity and memory storage requirement, it is hard to directly deploy a full-precision CNN on embedded devices. The hardware-friendly… read more here.
Keywords: bnn; network; bit level; build compact ... See more keywords
Bit‐level implementation for polynomial cancellation coded DFT‐s‐OFDM transmitters
Sign Up to like & getrecommendations! Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2019.3768
Abstract: Polynomial cancellation coded discrete Fourier transform-spread orthogonal frequency division multiplexing (PCC-DFT-s-OFDM) is famous for the flexibility of DFT-s-OFDM on the trade-off between peak-to-average power ratio performance and spectral efficiency. Deploying it on numerous user equipments… read more here.
Keywords: polynomial cancellation; implementation; level implementation; bit level ... See more keywords
Novel Medical Image Encryption Scheme Based on Chaos and DNA Encoding
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2906292
Abstract: In this paper, we propose a new chaos-based encryption scheme for medical images. It is based on a combination of chaos and DNA computing under the scenario of two encryption rounds, preceded by a key… read more here.
Keywords: dna; chaos; image; encryption ... See more keywords
TT@CIM: A Tensor-Train In-Memory-Computing Processor Using Bit-Level-Sparsity Optimization and Variable Precision Quantization
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Solid-State Circuits"
DOI: 10.1109/jssc.2022.3198413
Abstract: Computing-in-memory (CIM) is an attractive approach for energy-efficient deep neural network (DNN) processing, especially for low-power edge devices. However, today’s typical DNNs usually exceed CIM-static random access memory (SRAM) capacity. The introduced off-chip communication covers… read more here.
Keywords: level sparsity; quantization; bit level; cim ... See more keywords
Deeper Weight Pruning Without Accuracy Loss in Deep Neural Networks: Signed-Digit Representation-Based Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3064914
Abstract: In addition to the word-level weight pruning, which excludes the 0-value weights from the neural network inference computation, it is recently demonstrated that the bit-level weight pruning, which excludes the 0-bits in the weight value… read more here.
Keywords: weight pruning; bit level; signed digit; representation ... See more keywords
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3250437
Abstract: With the rapid progress of deep neural network (DNN) applications on memristive platforms, there has been a growing interest in the acceleration and compression of memristive networks. As an emerging model optimization technique for memristive… read more here.
Keywords: memristive networks; sparsity tolerant; level sparsity; bit level ... See more keywords
On the Cryptanalysis of a Bit-Level Image Chaotic Encryption Algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/5747082
Abstract: In this paper, the security analysis of a bit-level image chaotic encryption algorithm based on the 1D chaotic map is proposed. The original image chaotic encryption algorithm includes bit-level permutation encryption, diffusion encryption, and linear… read more here.
Keywords: encryption algorithm; image chaotic; bit level; chaotic encryption ... See more keywords