A/D Signal Processing: Sampling Frequency & Quantization

In summary, sampling is the process of converting an analog signal into a digital signal by taking periodic measurements, which allows for easier manipulation and analysis. A higher sampling frequency results in better signal quality. Quantization is the conversion of continuous analog values into discrete digital values, necessary for computer processing. The bit depth affects quantization by allowing for a larger range of digital values. The Nyquist-Shannon sampling theorem states that the sampling frequency must be at least twice the highest frequency component of the analog signal in order to accurately reconstruct it from its digital representation. This theorem is important in A/D signal processing to ensure accurate representation of the original signal.
  • #1
mohlam12
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Hello,

I'd like to know the relation between the sampling frequency and the quantization.

If the sampling frequency is 200KHz, and the analog signal ahs a maximum frequency of 80KHz, How many bits will the qantization be done to have a 6Mb/s bitrate?
 
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  • #2
I figured it out.

Thanks :)
 
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