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Erratum: Insights and therapeutic advances in pancreatic cancer: the role of electron microscopy in decoding the tumor microenvironment. [PDF]
Frontiers Production Office.
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Decoding Auditory Working Memory Load From EEG Alpha Oscillations. [PDF]
Yuan Y +4 more
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A deep learning-enriched framework for analyzing brain functional connectivity. [PDF]
Borra D, Magosso E.
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Mind captioning: Evolving descriptive text of mental content from human brain activity. [PDF]
Horikawa T.
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Quasi-Optimal Path Convergence-Aided Automorphism Ensemble Decoding of Reed-Muller Codes. [PDF]
Tian K, Sun H, Liu Y, Liu R.
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Memory-Based List Updating for List Sphere Decoders
2007 IEEE Workshop on Signal Processing Systems, 2007Symbol detection with list sphere decoder (LSD) is an emerging technology targeted on multiple-input multiple-output (MIMO) telecommunication systems. The LSD algorithm requires maintaining a list of candidate symbols with shortest Euclidean distances to the received symbol. For energy efficiency, memory-based list is preferred over registers with long
Perttu Salmela +3 more
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Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE, 2004
A list sequence (LS) maximum a posteriori probability (MAP) decoding algorithm for convolutional codes, that takes into account bitwise a priori probabilities and produces a rank ordered list of /spl Lscr/ sequence MAP estimates, can be obtained by modification of the metric increments of the serial list Viterbi algorithm.
C.F. Leanderson, C.-E.W. Sundberg
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A list sequence (LS) maximum a posteriori probability (MAP) decoding algorithm for convolutional codes, that takes into account bitwise a priori probabilities and produces a rank ordered list of /spl Lscr/ sequence MAP estimates, can be obtained by modification of the metric increments of the serial list Viterbi algorithm.
C.F. Leanderson, C.-E.W. Sundberg
openaire +1 more source

