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In the case, we have to modify the iterative scheme (1.8) in order to make it well-defined.
Specifically, we modify the iterative linear MMSE channel estimator of [21] in such a way that it can operate in a turbo fashion.
An improvement on this dynamic condensation technique is proposed in this paper to modify the iterative transformation matrix and achieve faster convergence.
This also explains why we needed to modify the iterative update rules to implement the NMFD model our preliminary experiments conducted with and without initialization showed that the cost function converged, but the NMF dereverberation was not successful.
Motivated and inspired by the above results, Cai and Hu [22] introduced the hybrid projection algorithm to modify the iterative processes (1.10), (1.11), and (1.12) to have strong convergence for a finite family of relatively weak quasi-nonexpansive mappings in Banach spaces.
Question Can we modify the iterative scheme (1.8) so that strong convergence is guaranteed for a split common fixed point problem involving a uniformly asymptotically regular nonexpansive semigroup and a total asymptotically pseudocontractive mapping in infinitely dimensional Hilbert spaces without any compactness-type condition assumed?
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In this paper, to overcome the difficulties, a modified chaos control (MCC) is applied to the AMV iterative procedure through modifying the iterative step of the chaotic dynamics analysis.
In this paper, we have overcome these shortcomings by modifying the iterative scheme.
In this context, we modified the iterative MLAA (Maximum-Likelihood reconstruction of Attenuation and Activity) algorithm to improve the resulting emission image from the PET/MR system.
Panyanak [13] proved some results using Ishikawa type iteration process without the condition T p = { p } on the mapping T. Based on the above lemma, Song and Wang [14] modified the iterative algorithm due to Panyanak [13] and improved the results presented therein.
Our modifying algorithm does not modify the original iterative decoding algorithm, since the modified generator matrix is known both at encoder and decoder.
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