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In inter-flow network coding, decoding knowledge is the flow's overheard information which is defined by a set of possible nodes which had or overheard this flow.
For doing this, the coding node must know the decoding knowledge before making any coding decision.
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Following a longitudinal design, 566 children learning to read Dutch as L1 and 463 children learning to read Dutch as L2 in the Netherlands were tested on indicators lexical quality (LQ) in kindergarten (speech decoding, morphological knowledge and vocabulary); word decoding and listening comprehension in first grade; and then reading comprehension in second grade.
The SSS also has a 5-ms periodicity and occupies 62 of the 72 central subcarriers so it can be decoded without knowledge of the system BW configuration.
The digitisation is underpinned by the proposed human-workpiece interaction theory and implemented to automatically extract and decode key knowledge constituents such as layup strategies, ply manipulation techniques, motion mechanics and problem-solving during hand layup, collectively categorised as layup skills.
However, later reading comprehension was also directly predicted by the children's early morphological and vocabulary knowledge, on the one hand, and indirectly by speech decoding and morphological knowledge via word decoding and indirectly by morphological and vocabulary knowledge via listening comprehension.
where denotes the eavesdropper's error probability when decoding with the knowledge on the message indices.
Distributed source coding requires the availability of appropriate marginal coding rates at each encoder node; similarly, the deployment of joint source network decoding requires some knowledge of the correlation model of the sources on the encoding side.
Based on our measures, we conclude that important processing nodes of this network are phonological decoding, verbal knowledge, visuo-spatial memory, spatial ability and general executive functioning measured by the trail-making task.
Machine learning method refers to the study of decoding states to acquire knowledge from experiences.
The latter is based on soft-input decoding using a priori knowledge of the source-symbol sequence and the compressed bit-stream lengths.
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