Sampling Theory | Converting a Continuous Time Signal to Discrete Time

This is 1st video in the series of course on OFDM and Signal Processing for 5G NR.
This video explains about sampling theory. Any Digital Communication system relies heavily on sampling as this process converts continuous time signal to discrete time signal. This video touches upon why sampling is needed, how sampling is done and how one can visualize the impact of sampling in the frequency domain.
Download Transcript of the video in pdf format: url-x.it/809nTfW
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[@tıbhendese]

how dirac(n) acts same as dirac(t) in frequency domain ? I dont understand how we transform continuous to discrete. I have problems on converting CT to DT, I am trying to watch several videos about it, but the actual mathematical operation of "converter" is not clear. What I mean is , what is the operator that converts ""impulse(t) >> to impulse[n] with amplitude of 1"" or ""x(t) . p(t) impulse train >> to x[n] as a sequence""

[@BAL31m89]

Is the sequence of view this series is same from top to bottom. Can you please assign numbering

[@curiousbeing8585]

Yes, the sequence in the playlist is from top to bottom also the numbers are mentioned in the description of each video. Playlist Link: kzbin.info/aero/PLfUa5X9whlE9E2CYt3_LArfpFx_8ZYDrJ