Results 21 to 30 of about 1,509 (176)
Turbo Equalization Of Nonlinear ISI-channels Using High Rate FEC Codes [PDF]
Turbo equalization is a widely known method to cope with low signal to noise ratio (SNR) channels corrupted by linear intersymbol interference (ISI) (Berrou and Galvieux, 1993; Hagenauer et al., 1997).
M. Siegrist +4 more
doaj
Noncoherent iterative (turbo) decoding [PDF]
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
Sensitivity analysis of the channel estimation deviation to the MAP decoding algorithm
As a necessary input parameter for MAP decoding algorithm,SNR was normally obtained from the channel estimation unit.Corresponding research indicated that SNR estimation deviation degraded significantly the performance of Turbo decoding.MAP decoding ...
WAN Ke, FAN Ping-zhi
doaj +2 more sources
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
StackingNet: Collective Inference Across Independent AI Foundation Models
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
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
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
Human iPSC‐derived Fabry cardiomyocytes exhibited broad transcriptional dysregulation, apoptosis, mitochondrial dysfunction, impaired reactive oxygen species handling, altered contractility, and abnormal calcium transient decay, potentially mediated by phospholamban hyperphosphorylation.
Malte Juchem +24 more
wiley +1 more source
Fully-Parallel Quantum Turbo Decoder
Quantum turbo codes (QTCs) are known to operate close to the achievable Hashing bound. However, the sequential nature of the conventional quantum turbo decoding algorithm imposes a high decoding latency, which increases linearly with the frame length ...
Zunaira Babar +7 more
doaj +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source

