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NIST Technical Note 1337: Characterization of Clocks and Oscillators

NIST Technical Note 1337: Characterization of Clocks and Oscillators

NIST Technical Note 1337: Characterization of Clocks and Oscillators

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We can use the convolution theorem to simplyi11ustrate the existence <strong>of</strong> atiases. Thh theoremstates that multiplication in the time domaincorresponds to convolution in the frequency domain,<strong>and</strong> the time domain end frequency domain representationsare Fourier transform pairs) TheFourier tran"form <strong>of</strong> yet) In figure lO.l(a} isdanotod by Y(f); thus:Y(fl convolvad with Af ;s danotad by Y(f)'a(f) <strong>and</strong> is shown in figura 10.2(c). Wo sao thatthe transform ....(f) is repeated with origins atf =y. Conversely, high frequency data with informationaround f = f will fold into thQ data aroundthe origin bil!tween -f <strong>and</strong> "'f ' In the computations s<strong>of</strong> pow~r spectra, we encounter error5 as shown infiguro (10.3).<strong>and</strong>TheY(f) : j-y(t).j2rrftdt (10.5)=y(t) : -l f Y(f)oj2rrftdf (10.6)Zn-=function Y(f) is depicted tn f1gure lO. Z(a).The Fourier transform <strong>of</strong> ~(t) ;s shown in figure10.2(b) <strong>and</strong> is gillen by .6.(f) wh@re applying thediscrete transform yields:(10.7)recall1ng that---'". '.,=Mt): E 6(t -nT). (10.8)n=fromeq (10.2).L ~..I...-.-+" f+.-.J\.--,----+-r'"'. '. +--1C4) {I.}FIGURE 10.2Is'-~FIGURE 10.3Al lased power spectra dtle to folding.Spactra, (b) Aliasod Spoctr._(a) TrueTwo pionil!ers in infonnation theory, HaroldNyquist <strong>and</strong> Claude Shannon, developed designcriteria for discrete-continuous processing sys~tems. Given a specified accuracy, 'We can conveytime-domain process Yet) through a finite b<strong>and</strong>widthwhose up~er limit f is the highest ~ignificantspectral component <strong>of</strong> y(t). ForNdiscretecontinuousprocess Yk(t) Iideally the input signalspectrum should not extend beyond f ' ors(10.9)where f is givE'!:n by eq 00.4). Equatio" (10.9)sis refered to as the lIShannon limit. /IIn practice, there is never a case in whichthere is absolutely no signal or noise compon@ntabove f,.. Filtars are used befor!' the ADC inorder to suppress components above f which foldNinto tho lower b<strong>and</strong>width <strong>of</strong> intarost. rhis 00­called anti-aliasing fi1ter usually must be quiteSOphisticated in order to have low ripple in thepassb<strong>and</strong>, constan't phase delay in the passb<strong>and</strong>?<strong>and</strong> steep roll<strong>of</strong>f characteristics. In examiningthe rollotf requirements <strong>of</strong> the anti-aliasingfilter, we Can apply a fundamental filter propertythat the output spectrum is equal to the input28TN-41

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