2016
DOI: 10.1016/j.amc.2015.12.002
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A non-stationary binary three-point approximating subdivision scheme

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Cited by 12 publications
(15 citation statements)
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“…Note that ∑ ∞ =0 |V − 1| < ∞ can also be derived from the fact that |V − 1| ≤ 3 2 − with 3 being a constant independent of . Here, we used the technique of fixed point iteration, which, we point out that, can also be used in the analysis of other nonstationary subdivision schemes, such as the ones in [10,11]. This will be shown in Section 5.…”
Section: Convergence and Smoothness Now Let Us Investigatementioning
confidence: 99%
See 3 more Smart Citations
“…Note that ∑ ∞ =0 |V − 1| < ∞ can also be derived from the fact that |V − 1| ≤ 3 2 − with 3 being a constant independent of . Here, we used the technique of fixed point iteration, which, we point out that, can also be used in the analysis of other nonstationary subdivision schemes, such as the ones in [10,11]. This will be shown in Section 5.…”
Section: Convergence and Smoothness Now Let Us Investigatementioning
confidence: 99%
“…For this new scheme, by changing the values of and ], we can change the sensitivity of the shape of the obtained curve to the initial control value V 0 , and different kinds of curves, including the conics, can then be obtained by adjusting V 0 . We point out that compared with the cubic exponential B-spline scheme, this newly obtained one can generate curves with more kinds of shapes and, compared with the schemes in [10,11], this new one enjoys the advantages like shorter support and generation of exponential polynomials. For such a new scheme, we show that, with any admissible choice of and ], it keeps the same smoothness order and the support as the cubic exponential B-spline scheme.…”
Section: Introductionmentioning
confidence: 99%
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“…Mustafa et al [19] introduced a subdivision-regularization framework for preventing over-fitting of data by a model in 2013. In 2016, Salam et al [23] presented two non-stationary forms of Chaikin perturbation SS, and Tan et al [27] derived a 3-point approximating non-stationary SS. For more recent work on SSs, one may be referred to [1,15,17,18,21].…”
Section: Introductionmentioning
confidence: 99%