# Difference between revisions of "Talk:Amplitude modulation"

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Sorry Holger, but that's wrong. This is only valid if you try to digitilize an analog signal. What you're thinking of is the Nyquist Theorem, but thats another business.. | Sorry Holger, but that's wrong. This is only valid if you try to digitilize an analog signal. What you're thinking of is the Nyquist Theorem, but thats another business.. | ||

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+ | ---- | ||

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+ | '''@ FIXME: is this formula correct, shouldn't theh transformation in frequency domain depend on frequency instead of time? As soon this is cleared we can transform the image entirely into TeX...''' | ||

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+ | Should be | ||

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+ | '''u_AM(omega)='''$WHATEVER | ||

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+ | , you're right. | ||

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+ | it simply describes the carrier frequency 2*Pi*fc and around the carrier frequency two additional frequencies in the distance of the modulating omega_m: 2*Pi(fc + fm) and 2*Pi*(fc - fm). | ||

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+ | regards, wirbel | ||

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+ | ---- |

## Revision as of 21:01, 3 November 2004

The Carrier signal is a sinusoid with a fixed Frequency **at least twice as high as the highest frequency occuring in the** spectrum of the incoming signal

Sorry Holger, but that's wrong. This is only valid if you try to digitilize an analog signal. What you're thinking of is the Nyquist Theorem, but thats another business..

**@ FIXME: is this formula correct, shouldn't theh transformation in frequency domain depend on frequency instead of time? As soon this is cleared we can transform the image entirely into TeX...**

Should be

**u_AM(omega)=**$WHATEVER

, you're right.

it simply describes the carrier frequency 2*Pi*fc and around the carrier frequency two additional frequencies in the distance of the modulating omega_m: 2*Pi(fc + fm) and 2*Pi*(fc - fm).

regards, wirbel