1998
DOI: 10.1006/jmre.1998.1510
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Evolution Strategy Optimization for Selective Pulses in NMR

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Cited by 18 publications
(14 citation statements)
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“…Self-refocusing L0S2-0 pulses (18,19) which affect only aromatic C γ carbons are used. This selection requires relatively long selective pulses.…”
Section: Resultsmentioning
confidence: 99%
“…Self-refocusing L0S2-0 pulses (18,19) which affect only aromatic C γ carbons are used. This selection requires relatively long selective pulses.…”
Section: Resultsmentioning
confidence: 99%
“…We applied the sequence of Fig. 3, where the pulse to be tested is followed by the negative-phase 90°pulse L-3S4 (16,19), with a much larger bandwidth (12.5 kHz). At the end of the acquisition we make a Fourier transform and subtract from the absorption component the corresponding spectrum obtained without the first pulse.…”
Section: Methodsmentioning
confidence: 99%
“…To find the minimum of the cost function in the parameter space, we use a stochastic, evolution strategy algorithm (16), in which a "parent" solution p generates a "son" x with a probability density [14] the dispersion d is increased when lots of improvements arise (far from a solution) and decreased otherwise (near a solution).…”
Section: Methodsmentioning
confidence: 99%
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“…27 -29 A number of new selective pulses for excitation, saturation and inversion have recently been designed. 30 An important point in choosing the type of pulse is its duration at a given selectivity. This will influence the magnetization that is left at the end of the pulse sequence.…”
Section: D Sexsymentioning
confidence: 99%