Results 31 to 40 of about 861 (178)
ABSTRACT In this paper, the correlation learning estimation and adaptive reduction (CLEAR) of interference, an adaptive, blind and transparent interference compensation method applied in a wideband dual‐channel receiver, is studied for a pair of independent satellite multi‐connectivity links, using the same carrier frequency and signal bandwidth in use
Svilen Dimitrov
wiley +1 more source
The geometry of turbo-decoding dynamics [PDF]
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
Recent Advances in Photocatalyst‐Driven Protein Labeling and Proximity Mapping
Photocatalyst‐driven protein labeling and proximity mapping have rapidly advanced as powerful strategies for spatiotemporal control in complex biological environments. This review integrates recent developments across single‐electron transfer and energy transfer‐based mechanisms and highlights how catalyst design, reactive intermediates, and diffusion ...
Shinichi Sato +3 more
wiley +1 more source
Turbo Trellis Coded Modulation (TTCM) with Imperfect Phase Reference
In this paper, we investigate the performance of Turbo Trellis Coded Modulation (TTCM) over AWGN, and Rician channels and assume that phase disturbance is available.
Osman N. Ucan, Onur Osman
doaj +2 more sources
Method of assessing the information reliability of in 5G wireless transmission systems [PDF]
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 +5 more
doaj +3 more sources
A memory reduced Turbo code decoding architecture design and FPGA implementation
In order to satisfy the high-performance and low-power dissipation requirement in wireless communication, this paper proposes a low storage capacity and low-power dissipation Turbo decoder architecture based on the reverse recalculation and linear ...
Zeng Jie +5 more
doaj +1 more source
LLM‐based prior elicitation for Bayesian graphical modeling
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 +2 more
wiley +1 more source
A state metrics compressed decoding technique for energy-efficient turbo decoder
In the energy resource-constrained wireless applications, turbo codes are frequently employed to guarantee reliable data communication. To both reduce the power dissipation of the turbo decoder and the probability of data frame retransmission in the ...
Ming Zhan +3 more
doaj +1 more source
Lower density of calretinin‐immunopositive neurons in the putamen of subjects with schizophrenia
Recent neuroimaging and histological studies highlight the striatum as a key area involved in SCH, but the specific impairment of neuronal subtypes in subcortical structures is not fully understood. This study is the first detailed investigation of neuroanatomical changes in the putamen in SCH, specifically examining the density of calretinin ...
Paz Kelmer +4 more
wiley +1 more source
Optimum non-iterative turbo-decoding [PDF]
By observing the structure of the decoder's trellis a new, non-iterative turbo-decoder based on a super-trellis structure is proposed, which exhibits the same decoding complexity as a conventional convolutional decoder possessing an identical number of trellis states.
Marco Breiling, Lajos Hanzo
openaire +1 more source

