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Digital Signal Processing: Filters Made of Pure Arithmetic

Difference equations, the FFT, FIR and IIR filters and spectral estimation: how adding and multiplying numbers reshapes sound, images and radio.

Digital Signal Processing · 50 questions

Try 3 questions

1. A filter computes y[n] = x[n] + 0.5·y[n−1]. What does its response to a single impulse look like?

  1. It ends after exactly two samples
  2. It decays but never fully ends
  3. It grows without any bound
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Answer: It decays but never fully ends

Each output feeds back at half strength, giving 1, 0.5, 0.25... an infinite impulse response that shrinks forever.

2. For a causal discrete-time system to be stable, where must all its poles lie?

  1. Outside the unit circle
  2. Inside the unit circle
  3. In the left half-plane
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Answer: Inside the unit circle

Each pole p contributes pⁿ to the response, which decays only if |p| < 1; the left half-plane rule is for continuous time.

3. A system outputs the average of the last four input samples. What kind of filter is it?

  1. A high-pass IIR filter
  2. A band-stop IIR filter
  3. A low-pass FIR filter
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Answer: A low-pass FIR filter

Averaging smooths rapid changes, passing slow trends, and it uses only a finite number of past inputs with no feedback.

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