Sampling - week 4

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  • Sampling
    • Turns a signal into a sequence of numbers that approximately represent it
    • Digital over analogue
      • Easy duplication with no further errors or loss of quality
      • More durable mediums can store the data
      • Can perform signal processing
      • Cheaper to run
    • Analogue over digital
      • Analogue varies continuously in time whereas digital systems contain discrete numbers
        • Therefore errors occur due to approximation / 'loss' of data between sample points
    • Nyquist theorem
      • The signal must be sampled at at least twice the highest frequency
        • Sample rate = Fs = 2 * fmax
        • Nyquist frequency = fN = Fs / 2
      • For some practical applications the signal should be sampled at 5 or 10 times the highest frequency
      • Aliasing will occur if the audio isn't sampled at twice the Nyquist frequency
        • The aliased frequency can be calculated with this equation
          • F alias = abs( ¦ Fs - Input F ¦ )
        • Aliasing always creates a frequency lower than expected

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