Results 91 to 100 of about 737,076 (296)

EXIT Chart Based Joint Code-Rate and Spreading-Factor Optimisation of Single-Carrier Interleave Division Multiple Access [PDF]

open access: yes, 2007
—In this paper, we consider the joint code-rate and spreading-factor optimisation of turbo-style iterative joint detection and decoding assisted single-carrier interleave division multiple access (SC-IDMA) systems using different-rate convolutional codes
Zhang, R   +3 more
core   +2 more sources

Some Extended Results on the Design of Punctured Serially Concatenated Convolutional Codes

open access: yesJournal of Communications Software and Systems, 2006
The aim of this paper is twofold. On one hand, it presents the results of the search for good punctured systematicrecursive convolutional encoders suitable for application in serially concatenated convolutional codes (SCCCs) operating in two different ...
Massimiliano Laddomada   +1 more
doaj  

SYNCHRONIZATION RECOVERY WHEN DECODING MESSAGES USING A MODIFIED VITERBI DECODING ALGORITHM

open access: yesИзвестия высших учебных заведений. Поволжский регион:Технические науки, 2020
Background. Modern data transmission systems using cryptographic methods of information protection require high reliability and quality of information transmission. The object of research is protected data transmission systems. The subject of research
Yu. Yu. Sinitsyn, A. B. Sizonenko
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Three-stage turbo MBER Multiuser beamforming receiver using irregular convolutional codes

open access: yes, 2008
Based on extrinsic information transfer (EXIT) charts, the convergence behavior of a three-stage serially concatenated multiuser beamforming receiver is presented.
Chen, Sheng   +4 more
core   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini   +7 more
wiley   +1 more source

Genetic algorithm aided design of component codes for irregular variable length coding [PDF]

open access: yes, 2009
In this paper we propose a novel Real-Valued Free Distance Metric (RV-FDM) for comparing the error correction capabilities of Variable Length Error Correction (VLEC) codebooks that have the same integer-valued free distance lower bounds.
Hanzo, L., Maunder, R. G.
core   +1 more source

Convolutional Neural Decoder for Surface Codes

open access: yesIEEE Transactions on Quantum Engineering
To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of errors in the qubits.
Hyunwoo Jung, Inayat Ali, Jeongseok Ha
doaj   +1 more source

Codeword Structure Analysis for LDPC Convolutional Codes

open access: yesInformation, 2015
The codewords of a low-density parity-check (LDPC) convolutional code (LDPC-CC) are characterised into structured and non-structured. The number of the structured codewords is dominated by the size of the polynomial syndrome former matrix
Hua Zhou   +3 more
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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