Sampling: Multiplication by Square Wave

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The discussion focuses on the multiplication of a band-limited input signal x(t) by a periodic square wave s(t) to produce an output w(t). The challenge is to determine the maximum period T of the square wave, in relation to the bandwidth ω_M, that avoids aliasing in the frequency domain representation W(jω). Participants note that this process differs from standard impulse train or zero-order hold sampling, suggesting that it resembles modulation techniques. To approach the problem, it is recommended to first analyze the effects of multiplying by a sine wave and then explore the spectral characteristics of a square wave. Understanding these concepts is crucial for resolving the aliasing issue in the output signal.
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We are considering a system in which the input signal x(t) is multiplied by a periodic square wave s(t) in order to produce an output w(t). The input signal is band limited with |X(j\omega)| = 0 \ \ \textrm{for} \ \ |\omega| \geq \omega_M, where \omega_M is the bandwidth. We are supposed to find (given a certain width of the periodic square wave, e.g. T/3), the maximum value of T (in terms of \omega_M) for which there is no aliasing among the replicas of X(j\omega) in W(j\omega).

I do not know how to approach this problem. This is not simple impulse train sampling. It is not zero order hold sampling. In fact...what the hell is this? Multiplication by a square wave? Sorry, I don't know where to start.
 
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Multiplication by a square wave is a form of modulation. Start off multiplying by a sine wave instead, and work out the images with sum and difference math. Then consider what a square wave's spectra looks like...
 

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