1993
DOI: 10.1364/ao.32.005100
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Optimal realizable filters and the minimum Euclidean distance principle

Abstract: Minimizing a Euclidean distance in the complex plane optimizes a wide class of correlation metrics for filters implemented on realistic devices. The algorithm searches over no more than two real scalars (gain and phase). It unifies a variety of previous solutions for special cases (e.g., a maximum signal-to-noise ratio with colored noise and a real filter and a maximum correlation intensity with no noise and a coupled filter). It extends optimal partial information filter theory to arbitrary spatial light modu… Show more

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Cited by 116 publications
(67 citation statements)
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“…The display produces in general a complex modulation m(ϕ)=a(ϕ)exp(ip(ϕ)) which is a function of the addressed phase ϕ. The minimum Euclidean projection states that the most efficient way of projecting a complex diffractive mask onto a restricted modulation domain is to assign the available complex value closest in the complex plane [17,18]. In Refs.…”
Section: Minimum Euclidean Projectionmentioning
confidence: 99%
See 1 more Smart Citation
“…The display produces in general a complex modulation m(ϕ)=a(ϕ)exp(ip(ϕ)) which is a function of the addressed phase ϕ. The minimum Euclidean projection states that the most efficient way of projecting a complex diffractive mask onto a restricted modulation domain is to assign the available complex value closest in the complex plane [17,18]. In Refs.…”
Section: Minimum Euclidean Projectionmentioning
confidence: 99%
“…[16] that the application of a projection of the complex values based on the minimum Euclidean distance principle [17,18] leads to important improvement of the efficiency of a diffractive phase element, even if the phase modulation depth provided by the display is seriously reduced. The technique is valid for phase-only functions with values distributed over a 2π range with a constant probability density function.…”
Section: Introductionmentioning
confidence: 99%
“…The first is to map the values to be represented on to the values that a SLM can represent using a minimum Euclidean distance method. 21 The second approach referred to as pseudorandom encoding, 22 statistically approximates the desired complex values with those values that are achievable with a given SLM. Originally developed for phase-only modulators, pseudorandom encoding has been extended to modulators for which amplitude is a function of phase by transforming the phase statistics to compensate for the amplitude coupling.…”
Section: 17mentioning
confidence: 99%
“…A few of these include encoding for amplitude-phase coupled, 3,5,12 binary quantized, 16 and m-ary quantized characteristics. 6,8,12,17,21 Although specifying and evaluating such a variety of algorithms is beyond the scope of this paper, this section would also help in the development of blended algorithms for modulation characteristics other than phase-only. We first present the three individual algorithms MDE, ED, and PRE, followed by blended MD-PRE and the new ED-PRE.…”
Section: Description Of the Encoding Algorithmsmentioning
confidence: 99%