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In particular we observe the 1,920 times )1,920 case where our implementation obtains very substantial speedups.
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In this paper, we apply the bidirectional DFE to wireless transmissions on rapidly time-varying dispersive channels and we propose an efficient implementation obtained by implementing the feedforward filter in the frequency domain.
MDS did the implementation, obtained the experimental results and contributed to results analysis.
The presented implementation obtained transfer rates on the order of magnitude of Gbps.
We present real implementation obtained with our tool for a 4G telecom scheme.
For the optical flow method we used the implementation obtained from Bruhn method [22].
Moreover, the hybrid CPU-GPU implementation obtained an average speedup of up to 12 times over the CPU-only implementation.
For larger instances with size 42 ⩽ n ⩽ 70, the simulated annealing implementation obtained smaller objective values, while requiring a smaller number of function evaluations.
In consequence, the digital representation of the CFO estimates in a hardware implementation (obtained after a quantization process) can be maintained across iterations, thus requiring fewer bits than in other schemes to obtain the same accuracy.
Secondly, we will impose the quasiperiodicity feature in two different implementations, obtaining an algebraic solution to the problem and an adaptive algorithm to extract the atrial activity.
We have used as examples the Java implementations (obtained from the JOP distribution1) of a subset of the algorithms from the Mälardalen WCET benchmark suite [35]: binary search (54 LOC), bubble sort (34 LOC), quick sort (109 LOC), insertion sort (39 LOC), iterative Fibonacci (40 LOC), and select smallest (137 LOC) which selects the nth smallest number in an array.
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