Results 31 to 40 of about 882,200 (283)
Comparing decoding methods for quaternary linear codes [PDF]
Electronic Notes in Discrete Mathematics, 2016 Permutation decoding is a technique which involves finding a subset S, called PD-set, of the permutation automorphism group of a code C. Constructions of small PD-sets for partial decoding for two families of Z₄-linear codes (Hadamard and Kerdock) are given.
Barrolleta, Roland David +2 more
openaire +4 more sources
TEXT COMPRESSION ALGORITHMS - A COMPARATIVE STUDY [PDF]
ICTACT Journal on Communication Technology, 2011 Data Compression may be defined as the science and art of the representation of information in a crisply condensed form. For decades, Data compression has been one of the critical enabling technologies for the ongoing digital multimedia revolution. There
S. Senthil, L. Robert
doaj
DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework
MathematicsCurrent language models have achieved remarkable success in NLP tasks. Nonetheless, individual decoding methods face difficulties in realizing the immense potential of these models.
Elias Lemuye Jimale +5 more
doaj +1 more source
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes [PDF]
arXiv, 2022 Recursive projection aggregation (RPA) decoding as introduced in [1] is a novel decoding algorithm which performs close to the maximum likelihood decoder for short-length Reed-Muller codes. Recently, an extension to RPA decoding, called sparse multi-decoder RPA (SRPA), has been proposed [2].
arxiv
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor [PDF]
, 2017 We investigate video classification via a two-stream convolutional neural network (CNN) design that directly ingests information extracted from compressed video bitstreams.
Abbas, Alhabib +2 more
core +2 more sources
Methods for decoding cortical gradients of functional connectivity
Imaging Neuroscience, 2023 AbstractMacroscale gradients have emerged as a central principle for understanding functional brain organization. Previous studies have demonstrated that a principal gradient of connectivity in the human brain exists, with unimodal primary sensorimotor regions situated at one end and transmodal regions associated with the default mode network and ...
Julio A. Peraza +17 more
openaire +2 more sources
Parallelization of Sphere-Decoding Methods [PDF]
, 2008 Sphere-Decoding (SD) methods are branch-and-bound-like techniques used for optimal detection of digital communications signals over in wireless MIMO (Multiple input Multiple Output) channels. These methods look for the optimal solution in a tree of partial solutions; the size of the tree depends on the parameters of the problem (dimension of the ...
Victor M. Garcia +3 more
openaire +2 more sources
Вісник Астрономічної школи, 2013 The focus of the study was to assess gradual changes occurring throughout a range of natural ecosystems using Landsat 5 Thematic Mapper (TM) time series data. Through analyses of time series data, we found evidence of gradual systematic change in many of
O. V. Tomchenko
doaj +1 more source
eLife, 2022 Brain signal decoding promises significant advances in the development of clinical brain computer interfaces (BCI). In Parkinson’s disease (PD), first bidirectional BCI implants for adaptive deep brain stimulation (DBS) are now available.
Timon Merk +8 more
doaj +1 more source
A Separation Algorithm for Improved LP-Decoding of Linear Block Codes
, 2008 Maximum Likelihood (ML) decoding is the optimal decoding algorithm for arbitrary linear block codes and can be written as an Integer Programming (IP) problem. Feldman et al.
Hamacher, Horst W. +5 more
core +2 more sources