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Why Do Spectral Aliases Arise?

Explore the phenomenon of spectral aliasing arising from the sampling of continuous-time signals. Understand how sample rates influence discrete-time signal frequencies and why signals can appear identical when sampled above certain limits. Gain insight into both time and frequency domain effects of aliasing to better grasp signal sampling fundamentals.

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Varying sample rates (e.g., fs=5,10,20f_s=5, 10, 20 samples/second) for a continuous-time signal determine the spacing between the samples. The question is how close or far we can sample in time. Here, we explore some interesting phenomena observed when the sample rate is changed beyond certain values.

After sampling, a complex sinusoid has a frequency scaled by fsf_s because

x[n]=Aej(2πft+θ)t=nTs=Aej(2πffsn+θ) \begin{align} x[n] &= A e^{j \left(2\pi f t + \theta\right)}| _{t=nT_s}\nonumber \\ &= A e^{ j\left(2 \pi \frac{f}{f_s} n + \theta\right)} \end{align}

where fs=1/Tsf_s=1/T_s ...