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There are several communication procedures such as the authentication, the resource allocation or paging, among others, that use a reduced number of frames.
Some of the classification strategies have been adapted to use a reduced number of features in order to cope with these rare symbols in the same way as with the other common symbols.
In order to conveniently exploit parallelism for obtaining VLSI LDPC decoders that occupy small circuit areas and demand low power consumption, we propose in this article a novel ASIC reconfigurable approach that exploits efficiently the memory block reshaping required to use a reduced number of processor nodes.
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In this study we present a two tagging strategy that employs a combination of two tags, added in two steps, which not only enables accurate multiplex analysis of thousands of samples in parallel, using a reduced number of tags, but also reduces the complexity of sample handling.
Reduced methods address this problem by carrying out phase equilibrium calculations using a reduced number of independent parameters.
Dispersion curves are then predicted only using a reduced number of eigenvectors.
Moreover dynamic neural network model can predict precisely instantaneous heating loads using a reduced number of inputs.
Hence, using a reduced number of successful candidates, the search process would converge faster and be less expensive.
We thank Marco Baiesi, Federico Fogolari and Fabio Pietrucci for stimulating discussion, and an anonymous referee for drawing our attention to the possibility of using a reduced number of amino aicd classes.
Recently, an approach leading to the 3-D viscoelastic characterization of transversely isotropic materials using a reduced number of measured parameters has been developed.
Moreover, this converter offers the main advantages found in traditional topologies, such as the Cuk or the SEPIC converters, using a reduced number of electronic components.
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