Fast-Converging and Low-Power LDPC Decoding: Algorithm, Architecture, and VLSI Implementation
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Signal Processing Systems"
DOI: 10.1007/s11265-021-01680-0
Abstract: Low-latency and energy-efficient multi-Gbps LDPC decoding requires fast-converging iterative schedules. Hardware decoder architectures based on such schedules can achieve high throughput at low clock speeds, resulting in reduced power consumption and relaxed timing closure requirements… read more here.
Keywords: fast converging; power; ldpc; ldpc decoding ... See more keywords
Development of a fast converging material specific void closure model during ingot forging
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Manufacturing Processes"
DOI: 10.1016/j.jmapro.2017.02.021
Abstract: Abstract The current paper focuses on the subject of internal voids and the process of hot forging used for their elimination in the manufacturing of large steel billets. A new method is proposed to identify… read more here.
Keywords: closure; fast converging; material; void closure ... See more keywords
New Finite-Time and Fast Converging Observers With a Single Delay
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3123688
Abstract: We provide new reduced order observer designs for a key class of nonlinear dynamics. When continuous output measurements are available, we prove that our observers converge in a fixed finite time in the absence of… read more here.
Keywords: time; finite time; converging observers; time fast ... See more keywords
Fast Converging Weighted Neumann Series Precoding for Massive MIMO Systems
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2017.2761876
Abstract: Neumann series (NS) expansion-based precoder in massive multiple input multiple output systems suffers from slow convergence. To solve this problem, this letter proposes a weighted NS expansion precoder. The weights are designed to minimize the… read more here.
Keywords: series precoding; converging weighted; neumann series; fast converging ... See more keywords
Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3159713
Abstract: Probabilistic bits (p-bits) have recently been presented as a spin (basic computing element) for the simulated annealing (SA) of Ising models. In this brief, we introduce fast-converging SA based on p-bits designed using integral stochastic… read more here.
Keywords: annealing ising; ising models; integral stochastic; simulated annealing ... See more keywords
On Fast Converging Data-Selective Adaptive Filtering
Sign Up to like & getrecommendations! Published in 2019 at "Algorithms"
DOI: 10.3390/a12010004
Abstract: The amount of information currently generated in the world has been increasing exponentially, raising the question of whether all acquired data is relevant for the learning algorithm process. If a subset of the data does… read more here.
Keywords: data selection; adaptive filtering; filtering; fast converging ... See more keywords