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
Area–Time–Power Efficient FFT Architectures Based on Binary-Signed-Digit CORDIC
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2019.2922988
Abstract: Fast Fourier transform (FFT) is a significant technique in the digital signal processing (DSP). The intrinsic weak point of the primary designs of FFT was the use of multipliers. CORDIC is the most prevalent method… read more here.
Keywords: fft; binary signed; signed digit; bsd ... See more keywords
A Study of Signed-Digit Hybrid Stochastic Number for Arithmetic Computing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Very Large Scale Integration (VLSI) Systems"
DOI: 10.1109/tvlsi.2025.3532948
Abstract: In this article, a signed-digit hybrid stochastic number (SD-HSN), which combines the two-line bipolar stochastic number (TLB-SN) and the binary signed-digit (BSD) number, is proposed and discussed. As a bipolar format hybrid stochastic number (SN),… read more here.
Keywords: stochastic number; number; digit hybrid; hybrid stochastic ... See more keywords