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Median filtering is a commonly used technique in signal processing. Typically used on signals that may contain outliers skewing the usual statistical estimators, it is usually considered too expensive to be implemented in real-time or CPU-intensive applications. This paper tries to gather various algorithms picked up from computer literature, offers one possible implementation for each of them, and benchmarks them on identical data sets to identify the best candidate for a fast implementation.

Posted by dotCore  |   Submitted: May 19 2013 / 02:19

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