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Estimation of transport delay using parallel recursive modified Gram–Schmidt algorithm

✍ Scribed by Jan Schier


Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
146 KB
Volume
11
Category
Article
ISSN
0890-6327

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✦ Synopsis


The paper describes a recursive algorithm for the estimation of transport delay. Based on the assumption that the delay is a discrete quantity with a finite number of values, the algorithm uses Bayesian probabilistic apparatus to test the probability of each possible value. The computation of probabilities uses the output of the recursive modified Gram-Schmidt (RMGS) algorithm. The result is a highly modular algorithm which may be implemented on parallel (VLSI) hardware and is hence suitable for applications requiring fast data processing.