Results 41 to 50 of about 13,125 (210)

1.5 Gbit/s FPGA Implementation of a Fully-Parallel Turbo Decoder Designed for Mission-Critical Machine-Type Communication Applications

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, Peter Hailes, Robert G. Maunder, Bashir M. Al-Hashimi, Lajos Hanzo   +4 more
doaj   +1 more source

Iterative channel equalization, channel decoding and source decoding

, 2005
The performance of soft source decoding is evaluated over dispersive AWGN channels. By employing source codes having error-correcting capabilities, such as Reversible Variable-Length Codes (RVLCs) and Variable-Length Error-Correcting (VLEC) codes, the ...
Hanzo, L., Wang, J., Yang, L-L.
core   +1 more source

Using large language models to automate herbarium specimen transcription: A case study at the Missouri Botanical Garden

PLANTS, PEOPLE, PLANET, EarlyView.
Biological specimens housed in natural history collections are indispensable resources for documenting where species occur and how they have changed through time, and are thus vital for combating biodiversity loss. Digitization of these collections promises to make these critical resources globally available.
Matthew W. Austin, Alexander G. Linan, Mike Blomberg, Heidi H. Schmidt, Jordan K. Teisher   +4 more
wiley   +1 more source

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, Robert G. Maunder, Lajos Hanzo   +2 more
doaj   +1 more source

Multitype Game Optimisation: A Two‐Stage Fine‐Tuning Framework for Multi‑Game Optimisation With Large Language Models

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Large language models (LLMs) have made remarkable advances in natural language processing, demonstrating great potential in modelling structured sequences. However, adapting these capabilities to machine gaming tasks such as Go remains challenging due to limitations in strategy generalisation and optimisation efficiency.
Xiali Li, Jingshi Gu, Feifan He, Yang Xiao, Yuanli Jia, Ping Lan   +5 more
wiley   +1 more source

Turbo NOC: a framework for the design of Network On Chip based turbo decoder architectures [PDF]

, 2009
This work proposes a general framework for the design and simulation of network on chip based turbo decoder architectures. Several parameters in the design space are investigated, namely the network topology, the parallelism degree, the rate at which ...
Guido Masera, Maurizio Martina, Member Ieee, Senior Member Ieee   +3 more
core   +3 more sources

The geometry of turbo-decoding dynamics [PDF]

IEEE Transactions on Information Theory, 2000
Summary: The spectacular performance offered by turbo codes sparked intense interest in them. A considerable amount of research has simplified, formalized, and extended the ideas inherent in the original turbo code construction. Nevertheless, the nature of the relatively simple ad hoc turbo-decoding algorithm has remained something of a mystery.
openaire   +1 more source

Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models

Journal of Accounting Research, EarlyView.
ABSTRACT Recent work within accounting and finance has highlighted that modern AI systems exhibit superhuman performance on a variety of foundational activities within these fields. However, the literature often does not provide economic rationale for why AI models seem to outperform, largely because these models are a black box.
BRADFORD LEVY
wiley   +1 more source

LLM‐based prior elicitation for Bayesian graphical modeling

British Journal of Mathematical and Statistical Psychology, EarlyView.
ABSTRACT In the Bayesian graphical modeling framework, priors on network structure encode theoretical assumptions and uncertainty about the topology of psychological constructs under study. For instance, the Bernoulli prior specifies the probability of each pairwise interaction, the Beta–Bernoulli prior governs expected network density, and the ...
Nikola Sekulovski, Meike Waaijers, Giuseppe Arena   +2 more
wiley   +1 more source

Method of assessing the information reliability of in 5G wireless transmission systems [PDF]

International Journal of Electronics and Telecommunications
The article proposes a method of assessing information transmission reliability by using the output normalized logarithmic ratio of the likelihood function (LRLF) of the decoder.
Vladyslav Vasylenko, Serhii Zaitsev, Yuliia Tkach, Oleksandr Korchenko, Ruslana Ziubina, Olga Veselska   +5 more
doaj   +3 more sources