Filtering a signal distorts its time response as well as its spectrum
Evidence
There is a problem, however, with filtering a signal in order to derive the spectrum, and this is the effect of the filter on the time response of the signal. Most filters have a time response due to the fact that they do not allow all frequencies Signal in Separated frequency components out FIGURE 1. — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 473
Categorization
- QUESTION: Paragraph appears cut off mid-thought; the time/frequency tradeoff of filtering is worth chasing through the rest of the passage.
- XREF: connects to: Filters used for spectral analysis inevitably alter a signal’s time response. — David Howard, Jamie Angus, coustics and Psychoacoustics, 471; Filters and the signal’s time response are physically coupled tradeoffs; Shorter time windows necessarily blur frequency knowledge in any signal — Eric J. Heller, Why You Hear What You Hear- An…, 416 (+7 more)
Broader Connections
- Filters used for spectral analysis inevitably alter a signal’s time response.
#corroborates(0.95) — David Howard, Jamie Angus, coustics and Psychoacoustics, 471 - Filtering a signal to narrow its bandwidth necessarily spreads it in time.
#corroborates(0.95) - Narrow-band filters smear signal onset despite resolving harmonics
#exemplifies(0.90) - Filters and the signal’s time response are physically coupled tradeoffs
#expands(0.85) - Narrow-bandwidth equalization causes filters to ring audibly in time
#exemplifies(0.85) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 2422 - Time and frequency resolution cannot both be improved simultaneously
#corroborates(0.82) — Toole, Floyd E, Sound reproduction- the acoustics and…, 951 - Shorter time windows necessarily blur frequency knowledge in any signal
#exemplifies(0.80) — Eric J. Heller, Why You Hear What You Hear- An…, 416 - Filtering in the frequency domain is simply multiplicative on spectra
#complicates(0.78) — David Howard, Jamie Angus, coustics and Psychoacoustics, 470 - The human hearing system compromises between frequency and time resolution, unlike ideal filters
#qualifies(0.70)