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A novel approach to improve sparse data models

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2 Author(s)
Schoeman, J. ; Electron. & Comput. Eng. Univ. of Pretoria, Guateng ; Linde, L.P.

This paper implements the recently introduced measure of sparseness with a specific feedback mechanism to improve the large standard deviation that current random data sources suffer from. The authors will show the drawbacks of the current, frequently used random data sources and suggest a novel approach to rectify these disadvantages. Simulation results are presented for various blocklengths typically used in 3G UMTS/WCDMA systems, showing how the standard deviation may be significantly reduced by up to 33% by using an optimal feedback length. These optimal feedback lengths are also presented, as well as some conclusions regarding communication system simulation and future

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26-28 Sept. 2007

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