2012
DOI: 10.1016/j.sigpro.2012.06.019
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New linear PIC detectors based on non-monotone line-search techniques

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Cited by 5 publications
(11 citation statements)
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“…which are nothing but the weighting factors of the previous www.ietdl.org stage of the LPIC detector using the steepest descent (SD)/ minimal gradient (MG) methods, that is, v SD p−1 and v MG p−1 , respectively. This leads to the conclusion that the BB algorithm exhibits almost the same computational complexity and memory requirements as the SD/MG method, however, in terms of the convergence speed, it outperforms the SD/MG method considerably as demonstrated in the simulation section in [1]. The BB method is globally convergent if ICI matrix is positive semi-definite [14].…”
Section: Lpic Detectors Based On Non-monotone Line-search Techniquesmentioning
confidence: 84%
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“…which are nothing but the weighting factors of the previous www.ietdl.org stage of the LPIC detector using the steepest descent (SD)/ minimal gradient (MG) methods, that is, v SD p−1 and v MG p−1 , respectively. This leads to the conclusion that the BB algorithm exhibits almost the same computational complexity and memory requirements as the SD/MG method, however, in terms of the convergence speed, it outperforms the SD/MG method considerably as demonstrated in the simulation section in [1]. The BB method is globally convergent if ICI matrix is positive semi-definite [14].…”
Section: Lpic Detectors Based On Non-monotone Line-search Techniquesmentioning
confidence: 84%
“…Based on [1], the best performing non-monotone line-search techniques in terms of convergence speed are the cyclic minimal gradient (MGcyclic) and the alternating BB (ABB) methods.…”
Section: Lpic Detectors Based On Non-monotone Line-search Techniquesmentioning
confidence: 99%
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