Sentence examples for algorithm realization from inspiring English sources

In this paper, multi-terminal traveling wave fault location network is developed, and massive data storage, management, and algorithm realization are implemented in the cloud computing platform.

For all details of this algorithm realization, interested readers can refer to [16, 21, 22], while software realization is available at (http://www.cs.tut.fi/~foi/GCF-BM3D/).

First, marginalized particle filter is used as the basic framework of new algorithm realization by marginalizing the states appearing linearly in the dynamical system, and the objective is to reduce the calculated amount.

Consequently, the proposed approach guarantees a minimum configuration of the control structure and a minimum requirement of plant knowledge for the AAC design, which leads to a sharp decrease of implementation cost in terms of hardware selection, algorithm realization and system debugging.

To reduce the search space and enhance the optimization efficiency, this paper presents a new constellation optimization strategy based on the ordinal optimization (OO) theory and expands the algorithm realization for constellation optimization including precise and crude models, ordered performance curves, selection rules and selected subsets.

This design approach is adapted to two characteristic PM algorithm realizations, the traditional double & add algorithm and the side channel attack resistant Montgomery power ladder algorithm.

This paper presents a comparison of four of these algorithms: the Eigensystem Realization Algorithm (ERA), the modified version ERA/DC, where DC indicates that it makes use of data correlations, the Q-Markov cover algorithm, and an algorithm due to Moonen, DeMoor, Vandenberghe and Vandewalle (MDVV).

By using Viterbi algorithm, four realizations are simulated for work area (Fig. 8).

In order to obtain algorithmic independent answers, three identification techniques are compared: Eigensystem Realization Algorithm (ERA), covariance driven Stochastic Subspace Identification (COV-SSI) and the Enhanced Frequency Domain Decomposition (EFDD).

Particularly, a matrix polynomial approach is used to unify the presentation with respect to current algorithms such as the least-squares complex exponential (LSCE), the polyreference time domain (PTD), Ibrahim time domain (ITD), eigensystem realization algorithm (ERA), rational fraction polynomial (RFP), polyreference frequency domain (PFD) and the complex mode indication function (CMIF) methods.

The proposed algorithm allows efficient realization of the bit-parallel systolic multipliers.