Iterative processing uses the output from one iteration as an input to the next iteration, and as the number of iterations increases, the processing comes closer to convergence [19].
Iterative processing enables a far more rapid path to achieving the level of purities needed for high performance computing.
Iterative processing concept (so-called turbo processing) was proposed firstly in the channel decoding [2] to achieve error-rate performance close to the theoretical limits.
The results provide guidance for the design of system parameters including the data configurations, the number of iterations for both iterative processing and low density parity check (LDPC) decoding, which are beneficial to achieve a good efficiency-performance tradeoff.
TBICM-ID-SSD iterations, xIDec and yIDem respectively, iterative processing at the demapper side is shown to provide additional error correction [6].
Then, the significant functionalities of iiHadoop including iterative processing, incremental processing, and asynchronous iteration execution are explained.
Figure 4 shows the runtime of the four algorithm on the traditional Hadoop, HaLoop, i2MapReduce, Iter-iiHadoop, and Async-Iter-iiHadoop. Fig. 4 Total running time of iterative processing.
This tuning procedure uses offline iterative processing of motoring in-cylinder pressure data.
The results discuss the mechanisms and importance of iterative processing in GBE, and the role of Σ9 boundaries.
The ASM is capable of constraining the solution variables within reasonable boundary limits, and thus the high-precision elemental yields can be determined by the iterative processing.
As opposed to state-of-the-art detectors based on Voronoi surfaces, a priori information is taken into account, enabling iterative processing.
