I. Tagopoulos

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The Discrete Wavelet Transformations (DWT) are data intensive algorithms. Energy dissipation and execution time of such algorithms heavily depends on data memory hierarchy performance, when programmable platforms are considered. Existing filtering operations scheduling alternatives for the 1D-DWT, employ different levels of data accesses locality. However(More)
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