Filtering a signal to narrow its bandwidth necessarily spreads it in time.
Related
- A filter’s time response is set by its bandwidth, not its center frequency (similarity 0.91)
- Narrower signal bandwidth necessarily spreads signals over longer time spans (similarity 0.85)
- Critical band bandwidths grow from 100 Hz to over 2 kHz with frequency (similarity 0.83)
- Each open-end reflection filters out high frequencies until the fundamental remains (similarity 0.83)
- Real-world signals vary over time so filters must adapt to conditions. (similarity 0.82)
- Partials above the seventh harmonic fall inside filter bandwidths and appear as time-based striations. (similarity 0.82)
- Narrowing a filter’s bandwidth inevitably spreads the signal in time, harming timbre (similarity 0.81)
- Active noise cancellation dominates below 1 kHz while passive isolation takes over above it (similarity 0.81)
- Dissonance depends on proportional separation falling inside the critical bandwidth, not absolute frequency difference (similarity 0.81)
- Comb filtering is unavoidable and not inherently unpleasant (similarity 0.81)
- Filtering a signal distorts its time response as well as its spectrum (similarity 0.81)
- Information content of a signal is measured by its probability of occurrence (similarity 0.81)
- Filter bandwidth limits how fast a band-pass noise envelope can fluctuate (similarity 0.80)
- Filters and the signal’s time response are physically coupled tradeoffs (similarity 0.80)
- A filter’s bandwidth sets how fast its output can change over time (similarity 0.80)