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- W1567907079 abstract "Experiments of large data sets are computationally expensive. Signal processing analysis on a single CPU leads to unacceptably long execution times. The paper presents initial experiments on calculating the time-frequency power spectrum using the coarse-grained parallel programming technique. Experimental speedup factors are given and discussed. The measured speedup factor of the time-frequency power spectrum parallel calculation process is sublinear which indicates that the time-frequency power spectrum is a suitable application for parallel programming. The parallel efficiency is acceptable with the lowest value of 75.1% occurring at N = 10. The maximum speedup factor of 9.1 is obtained when N = 12 at 75.3% of efficiency." @default.
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- W1567907079 date "2002-11-13" @default.
- W1567907079 modified "2023-09-23" @default.
- W1567907079 title "Parallel computation of the time-frequency power spectrum: analysis and comparison to the bispectrum" @default.
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- W1567907079 doi "https://doi.org/10.1109/icii.2001.983077" @default.
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