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Novel sorting network-based architectures for rank order filters

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2 Author(s)
Chakrabarti, C. ; Telecommun. Res. Center, Arizona State Univ., Tempe, AZ, USA ; Li-Yu Wang

This paper presents two novel sorting network-based architectures for computing high sample rate nonrecursive rank order filters. The proposed architectures consist of significantly fewer comparators than existing sorting network-based architectures that are based on bubble-sort and Batcher's odd-even merge sort. The reduction in the number of comparators is obtained by sorting the columns of the window only once, and by merging the sorted columns in a way such that the number of candidate elements for the output is very small. The number of comparators per output is reduced even further by processing a block of outputs at a time. Block processing procedures that exploit the computational overlap between consecutive windows are developed for both the proposed networks.<>

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Very Large Scale Integration (VLSI) Systems, IEEE Transactions on  (Volume:2 ,  Issue: 4 )