A simple one sweep algorithm for optimal APP symbol decoding of linear block codes
We propose a simple optimal a posteriori probability (APP) symbol decoding algorithm for linear block codes, which requires one forward recursion in a trellis.
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We propose a simple optimal a posteriori probability (APP) symbol decoding algorithm for linear block codes, which requires one forward recursion in a trellis.
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Understanding of intermolecular interactions are important in order to gain insight into a large number of physical processes. This thesis concerns itself with theoretical modelling of such interactions. In particular there is a focus one of interaction contributions called polarization. This interaction is sometimes ignored, but is a real and often important effect. For a model to be able to desc
There is a growing trend in linguistics to use large corpora as a tool in the study of language. Through the investigation of the different contexts a word occurs in, it is possible to gain insight in the meanings associated with the word. Concordances are commonly used as a tool in lexicography, but while the study of concordances is fruitful it is also tedious, so statistical methods are gaining
We introduce the problem of reoptimizing the network after a link failure has been repaired as an effective way for reducing capacity usage and improving network performance. Numerical results show gains higher than 42%.
The aim of this paper is directly linked to the context within which it has been drafted, as ecological debt (including climate debt) has been identified as a key Ejolt concept, one that is in need of better elucidation if EJOs are to operationalize its possibilities in their ongoing activities. Readers of this paper (and especially EJO activists) should in this way not only find themselves introd
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