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These solutions are used to analyze the convergence behavior of the iterative DMPC scheme.
The influence of number, code memory and code polynomials of the outer RSC codes on the distance properties and the convergence behavior of the iterative decoding scheme is studied.
First, Extrinsic information transfer (EXIT) chart analysis is applied to evaluate the convergence behavior of the iterative receiver using the real data collected from the Kauai Acomms MURI 2011 (KAM11) experiment.
Such phenomena are observed in the context of multiple solutions (both stable and unstable) of the discretized system, and are also manifested in the behavior of the iterative map used to solve the nonlinear algebraic system of equations.
Section 2 illustrates the convergence behavior of the iterative process.
Such schedule is chosen based on the convergence behavior of the iterative processing.
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In the following, we first study the convergence behavior of an iterative algorithm obtained directly from the likelihood equation (50) due to the mathematically tractability, where T is defined as the right-hand side of equation (50).
Using analytical and simulation approaches, we study the behavior of an iterative model that simulates allele frequencies of HEGs in randomly interbreeding populations.
One popular technique for visualizing the convergence behavior of iterative decoders is the EXIT charts [16].
The aim of this paper is to discuss the numerical behavior of several nonsymmetric iterative methods applied for solving the saddle point systems via the Schur complement reduction or the null-space projection approach.
Ibrahim et al. [112] show the behavior of iterative pre-copy live migration for memory-intensive applications (HPC workloads).
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