Sideband Power for a multiple tone wave

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SUMMARY

The discussion focuses on calculating sideband power in Amplitude Modulation Double Sideband (AM DSB) with a modulating signal consisting of two tones. The relevant equation for sideband power is Ps = 0.5 * (mean square value)^2. The modulating signal is defined as m(t) = (4/π) * [cos(2πf0t) - (1/3) * cos(2π3f0t)]. The solution involves calculating the mean square values of each tone separately and applying the superposition theorem to find the total sideband power.

PREREQUISITES
  • Understanding of Amplitude Modulation (AM) principles
  • Familiarity with the superposition theorem in linear systems
  • Knowledge of mean square value calculations
  • Basic concepts of signal processing and waveforms
NEXT STEPS
  • Study the derivation of sideband power in AM DSB systems
  • Learn how to calculate mean square values for different waveforms
  • Explore the application of the superposition theorem in signal processing
  • Investigate the effects of modulation index on sideband power
USEFUL FOR

Electrical engineers, signal processing students, and professionals working with amplitude modulation systems will benefit from this discussion.

marina87
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Homework Statement



I need to find the sideband power in a AM DSB. My book doesn't have an example or explain what to do when you have a modulating signal that has two tones (two cosines).

Homework Equations



Ps=sideband power= 0.5*(mean square value)^2

Carrier signal = A*cos(Wc*t)

m(t)=(4/pi)*[cos(2*pi*f0*t)-(1/3)*cos(2*pi*3*f0*t)]

The Attempt at a Solution



I only know how to do it for one tone using the equation 0.5*0.5*(μ*A)^2. Where A is the amplitude of the carrier and μ is the index modulation. What should I do? Should I look for the meansquare of each tone and add them?
 
Last edited:
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You must know that amplitude modulation systems are linear in nature. By being linear they follow superposition theorem, which states that the output response of the system due to the sum of inputs is equal to the sum of the output responses of each input to the system.

So calculate the responses individually and add them.
 

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