Scalable and Portable Architecture for Probability Density Function Estimation on FPGAs

FCCM, pp. 302-303, 2008.

Cited by: 4|Bibtex|Views0|DOI:https://doi.org/10.1109/FCCM.2008.47
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Many signal processing algorithms are known to suffer from super-linear increases in computational time with increasing data size and number of signals being processed. This behavior is particularly true for the Parzen window-based, non-parametric estimation algorithm for Probability Density Function (PDF). It forms an integral part of nu...More

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