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Although the rate-distortion performance of a practical DSC codec strongly depends on the actual implementation employed, it is yet possible to approximately quantify the gain obtained by introducing a Wyner-Ziv coding paradigm, in order to estimate the bit saving produced in the hash signature.
However, using a 'BayesB' type algorithm (Meuwissen et al. 2001) in the implementation employed by Technow et al. (2012) did not yield greater prediction accuracies (results not shown).
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The proposed implementation employs the QR-factorisation technique.
The availability implementation employs a Markov chain approach combined with logic-gate integer programming.
The numerical implementation employs Lagrange interpolations in two dimensions from information on a regular grid in the interior region.
This implementation employs a fixed mesh for the solution of the fluid problem and a Lagrangian formulation for the solid problem.
The implementation employs only one multiplier and 352 memory elements to compute all scales what results in a considerable smaller chip area (45 mm2) than former implementations.
There are insufficient practices in existing EA evaluation models in terms of considering all EA functions and processes, using structured methods in developing EA implementation, employing matured practices, and using appropriate metrics to achieve proper evaluation.
Our implementation employs reliable broadcast to disseminate newly detected events.
Our implementation employs the input signal and its conjugate.
The implementation employs vectorisation and shared-memory parallelism as outlined below.
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