Results 151 to 160 of about 1,102,740 (365)
Generalized reliability-based syndrome decoding for LDPC codes [PDF]
arXiv, 2007 Aiming at bridging the gap between the maximum likelihood decoding (MLD) and the suboptimal iterative decodings for short or medium length LDPC codes, we present a generalized ordered statistic decoding (OSD) in the form of syndrome decoding, to cascade with the belief propagation (BP) or enhanced min-sum decoding.
arxiv
Combinatorial constructions of low-density parity check codes for iterative decoding [PDF]
, 2003 Bane Vasić
openalex +1 more source
Iterative Decoding of Turbo Codes
Journal of Advanced College of Engineering and Management, 2018 <p><strong> </strong>This paper presents a Thesis which consists of a study of turbo codes as an error-control Code and the software implementation of two different decoders, namely the Maximum a Posteriori (MAP), and soft- Output Viterbi Algorithm (SOVA) decoders. Turbo codes were introduced in 1993 by berrouet at [2] and are perhaps
openaire +2 more sources
Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces
Advanced Intelligent Systems, EarlyView.This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun +4 more
wiley +1 more source
Explainable machine learning in cybersecurity: A survey
International Journal of Intelligent Systems, Volume 37, Issue 12, Page 12305-12334, December 2022., 2022 Abstract Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, successful adoption of ML models in cybersecurity still highly relies on the explainability of those models ...
Feixue Yan +4 more
wiley +1 more source
Iterative Bounded Distance Decoding of Product Codes with Scaled Reliability [PDF]
arXiv, 2018 We propose a modified iterative bounded distance decoding of product codes. The proposed algorithm is based on exchanging hard messages iteratively and exploiting channel reliabilities to make hard decisions at each iteration. Performance improvements up to 0.26 dB are achieved.
arxiv
Low-complexity iterative detection and decoding of multi-antenna systems employing channel and space-time codes [PDF]
, 2003 Haris Vikalo, Babak Hassibi
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Medical Image Hybrid Watermark Algorithm Based on Frequency Domain Processing and Inception v3
Advanced Intelligent Systems, EarlyView.Frequency domain processing and Inceptionv3 method is used in this article for digital image watermarking of medical images. The algorithm extracts feature vectors from medical images using discrete wavelet transform and discrete cosine transform, enhancing the robustness of the image watermark With the widespread use of digital medical images in ...
Yu Fan +4 more
wiley +1 more source
Study of equivalent point-to-point transmission model for coded relay cooperations
Tongxin xuebao, 2012 LDPC-coded relay cooperation and its joint iterative decoding based on the bi-layer Tanner graph were investigated.The coded relay cooperation becomed an equivalent and relatively simple point-to-point transmission model by introducing the notation of ...
Qiu-xia ZHANG +3 more
doaj +2 more sources
Partially Permuted Multi-Trellis Belief Propagation for Polar Codes [PDF]
arXiv, 2019 Belief propagation (BP) is an iterative decoding algorithm for polar codes which can be parallelized effectively to achieve higher throughput. However, because of the presence of error floor due to cycles and stopping sets in the factor graph, the performance of the BP decoder is far from the performance of state of the art cyclic redundancy check (CRC)
arxiv