Results 21 to 30 of about 865 (182)
Efficient MAP-algorithm implementation on programmable architectures [PDF]
Advances in Radio Science, 2003 Maximum-A-Posteriori (MAP) decoding algorithms are important HW/SW building blocks in advanced communication systems due to their ability to provide soft-output informations which can be efficiently exploited in iterative channel decoding schemes like ...
F. Kienle +3 more
doaj
Noncoherent iterative (turbo) decoding [PDF]
IEEE Transactions on Communications, 2000 Previously, noncoherent sequence detection schemes for coded linear and continuous phase modulations have been proposed, which deliver hard decisions by means of a Viterbi algorithm. The current trend in digital transmission systems toward iterative decoding algorithms motivates an extension of these schemes.
COLAVOLPE, Giulio +2 more
openaire +3 more sources
Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication
International Journal of Distributed Sensor Networks, 2013 We presented an iterative turbo equalization to cope with intersymbol interference induced by reflection of sea level and sea bottom for underwater sensor communication channel. Iterative turbo equalizer consists of inner codes and outer codes; we employ
Ji Won Jung, Ki Man Kim
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
A Scalable Turbo Decoding Algorithm for High-Throughput Network-on-Chip Implementation
IEEE Access, 2016 Wireless communication at near-capacity transmission throughputs is facilitated by employing sophisticated Error Correction Codes (ECCs), such as turbo codes.
Ra'ed Al-Dujaily +5 more
doaj +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
Advanced Science, EarlyView.ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Block turbo decoding with ORBGRAND
2023 57th Annual Conference on Information Sciences and Systems (CISS), 2023 Guessing Random Additive Noise Decoding (GRAND) is a family of universal decoding algorithms suitable for decoding any moderate redundancy code of any length. We establish that, through the use of list decoding, soft-input variants of GRAND can replace the Chase algorithm as the component decoder in the turbo decoding of product codes.
Kevin Galligan +2 more
openaire +2 more sources
Fully Parallel Turbo Equalization for Wireless Communications
IEEE Access, 2015 Iterative turbo equalization is capable of achieving impressive performance gains over the conventional non-iterative equalization having the same complexity, when communicating over channels that suffer from intersymbol interference (ISI).
Hoang Anh Ngo +2 more
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Advanced Science, EarlyView.FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni +17 more
wiley +1 more source
IEEE Access, 2016 In wireless communication schemes, turbo codes facilitate near-capacity transmission throughputs by achieving reliable forward error correction. However, owing to the serial data dependencies imposed by the underlying logarithmic Bahl-Cocke-Jelinek-Raviv
An Li +4 more
doaj +1 more source