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Reg Edwards wrote:
. . . I came across Gibbs around 1948 by accident while searching for more information on transmission lines in general. Google had not been invented. He appears to have made his name known (no doubt also in other matters) because of his "Gibb's Phenomenon", an overshoot of some kind in an extension of Fourier's Waveform Analysis. At the time I had no interest in 'overshoots' and forgot all about it. . . . . . It's commonly known that a square wave consists of a sine wave of the square wave's fundamental frequency, plus all its odd harmonics. Specifically, all components are in phase, and their amplitudes are the inverse of the harmonic number. That is, if the amplitude of the fundamenatal sine wave is 1, the amplitude of the third harmonic is 1/3, the amplitude of the fifth harmonic is 1/5, and so forth. So we should be able to create a square wave by adding all those sine waves -- right? It turns out that if we add the first few sine wave components, we have a fairly square looking wave -- but it has an overshoot at the leading and trailing edges. As we add more and more harmonics, the result gets more square, and the overshoot gets narrower and narrower -- but it remains, and with the same amplitude. Although the width approaches zero as the number of sine waves you've added gets infinite, there's always an overshoot for any finite number of sine waves. This is one manifestation of the Gibbs' Phenomenon, which also applies to other situtations. There's a really nifty demo at http://klebanov.homeip.net/~pavel/fb...applets/Gibbs/. Roy Lewallen, W7EL |
#2
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![]() "Roy Lewallen" wrote It's commonly known that a square wave consists of a sine wave of the square wave's fundamental frequency, plus all its odd harmonics. Specifically, all components are in phase, and their amplitudes are the inverse of the harmonic number. That is, if the amplitude of the fundamenatal sine wave is 1, the amplitude of the third harmonic is 1/3, the amplitude of the fifth harmonic is 1/5, and so forth. So we should be able to create a square wave by adding all those sine waves -- right? It turns out that if we add the first few sine wave components, we have a fairly square looking wave -- but it has an overshoot at the leading and trailing edges. As we add more and more harmonics, the result gets more square, and the overshoot gets narrower and narrower -- but it remains, and with the same amplitude. Although the width approaches zero as the number of sine waves you've added gets infinite, there's always an overshoot for any finite number of sine waves. This is one manifestation of the Gibbs' Phenomenon, which also applies to other situtations. There's a really nifty demo at http://klebanov.homeip.net/~pavel/fb...applets/Gibbs/. ======================================= The trouble with Fourier when attempting to use him with waveshapes on transmission lines is that there is no fundamental frequency or cyclic repetitions. His infinite series are solely functions of frequency. Whereas volts and current on lines are functions of time (the recprocal of frequency) and distance. That's where Heaviside's Operational Calculus comes in. In special cases (if you can find your particular problem in the long list of transforms and their inverses) his methods reduce to Laplace Transforms. But in general, as with Fourier, his answers appear as infinite series. Of course, infinite series pose no problems with present-day computers. The very first problems were encountered by Kelvin with the speed and distortion and economics of telegraph-code signals on long cables. 0 and 1 signals change shape and merge into each other at high data rates. Fourier could not provide answers. Exactly the same problems still occur on high data-rate digital circuits and light-fibers, further aggravated by echos and reflections. But Heaviside's revolutionary mathematics, which so upset the old-wives of professors of his day and abolished the need for SWR's, did the trick. --- Reg, G4FGQ |
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