The performance of the proposed receiver is approximately within 1 dB of a similar system employing DFE and turbo code, however, at a significantly reduced computational complexity and memory requirements, making our system attractive for real-time implementation.
Using separate approximations for the Laplacian of the orbitals increases the accuracy sufficiently to justify the increased memory requirement, making smoothing B-splines, with separate approximation for the Laplacian, the preferred choice for approximating planewave-represented orbitals in QMC calculations.
Although this technique proved to be successful for aligning with the small Arabidopsis Col-0 genome, its high memory requirement makes its applicability to a human genome still questionable (Li and Homer, 2010).
The word-monitoring task minimizes memory requirements by making the target word available throughout the trial and measuring comprehension online.
We explained before that this sort of approach has considerable memory and computational requirements, making real-time implementation difficult.
Our new algorithm thus has the significant advantage of linearizing the memory requirement and making it independent of the sequence length for HMMs while increasing the time requirement only by a factor of M K M + K, i.e. decreasing it when only one state path K = 1 is sampled.
Before going into details of the implementation and giving complexity estimates for the individual step as well as upper bounds for the memory requirements, let us make some general remarks: The presented algorithms are independent of the architecture used for the actual computations, i.e. apart from some implementation details, the same algorithms are used for CPU and GPU implementations.
Yet modern safety requirements made changes necessary.
However, in implementations such as high-resolution cyclic spectrum estimation by the order of N × N, the memory requirements are quite large, making cyclic spectrum analysis especially difficult.
Therefore, a trade-off must be made between the memory requirements and the coding gain.
