Results 31 to 40 of about 166,124 (208)

Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation [PDF]

open access: yesJournal of Lightwave Technology, 2019
Recently, data-driven approaches motivated by modern deep learning have been applied to optical communications in place of traditional model-based counterparts.
T. Koike-Akino   +4 more
semanticscholar   +1 more source

Virtual Space-Time DiversityTurbo Equalization Using Cluster Sparse Proportional Recursive Least Squares Algorithm for Underwater Acoustic Communications

open access: yesApplied Sciences, 2023
The oceanic positioning, navigation and timing (PNT) network requires high-quality underwater acoustic message transmission. Turbo equalization technology has exhibited superior performance for underwater acoustic (UWA) communications compared with ...
Zhen Han   +3 more
doaj   +1 more source

Truncated Turbo Equalizer with SIC for OTFS

open access: yes2023 IEEE Globecom Workshops (GC Wkshps), 2023
Orthogonal time frequency space (OTFS) is a promising candidate waveform for the next generation wireless communication systems. OTFS places data in the delay-Doppler (DD) domain, which simplifies channel estimation in highmobility scenarios. However, due to the 2-D convolution effect of the time-varying channel in the DD domain, equalization is still ...
P. S. Sanoopkumar   +2 more
openaire   +3 more sources

Turbo equalization and its improvement in BICM-ID based on hard-decision

open access: yesTongxin xuebao, 2009
Conventional receivers executed equalization and channel decoding independently. Turbo equalization was a technique which combined equalization and decoding.
ZHAO Chun-hui1, LV Qiang1, BI Wen-bin2
doaj   +2 more sources

Performance Characteristics of Zeno Trap Scanning DIA for Sensitive and Quantitative Proteomics at High Throughput

open access: yesPROTEOMICS, Volume 26, Issue 1, Page 68-81, January 2026.
ABSTRACT Proteomic experiments, particularly those addressing dynamic proteome properties, time series, or genetic diversity, require the analysis of large sample numbers. Despite significant advancements in proteomic technologies in recent years, further improvements are needed to accelerate measurement and enhance proteome coverage and quantitative ...
Ludwig R. Sinn   +11 more
wiley   +1 more source

A Double EP-Based Proposal for Turbo Equalization [PDF]

open access: yesIEEE Signal Processing Letters, 2019
This letter deals with the application of the expectation propagation (EP) algorithm to turbo equalization. The EP has been successfully applied to obtain either a better approximation at the output of the equalizer or at the output of the channel ...
Irene Santos   +2 more
semanticscholar   +1 more source

Caenogastropods and heterobranch gastropods from the Hettangian deposits of Luxembourg: palaeobiogeography and Early Jurassic faunal recovery in the western Tethys

open access: yesPapers in Palaeontology, Volume 12, Issue 1, January/February 2026.
Abstract We describe the Hettangian Caenogastropoda and Heterobranchia of the Luxembourg Sandstone Formation, a wedge of clastic sediments deposited along the eastern margin of Paris Basin during the Early Jurassic. Five new genera and 11 new species are erected: Bourguetia bipartita sp. nov., Globularia delsatei sp. nov., Oonia feidtorum sp.
Stefano Monari   +3 more
wiley   +1 more source

Blind Turbo equalization algorithm based on hidden Markov model for continuous phase modulation signals

open access: yesTongxin xuebao, 2015
To solve the issues of the poor performance and convergence difficulties in the blind equalization of high order continuous phase modulation (CPM) signals, a new EM-SOVA channel blind equalization method was developed from the perspective of hidden ...
Kai ZHONG, Hua PENG, Lin-dong GE
doaj   +2 more sources

Joint Blind Identification of Cyclic Codes and Synchronization Scramblers From Synchronous Scrambling Sequences of Cyclic Codes Based on Soft Decision Information

open access: yesIET Communications, Volume 20, Issue 1, January/December 2026.
A communication model for collaborative and non‐collaborative scenarios is proposed, where the error correction code used by the transmitter is a cyclic code and the scrambler used is a synchronous scrambler. The contents of the dashed boxes are the tasks of the non‐collaborative receiver and our research targets the contents of the red boxes, that is,
Yong Ding   +5 more
wiley   +1 more source

Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication

open access: yesInternational 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

Home - About - Disclaimer - Privacy