Real-world signals vary over time so filters must adapt to conditions.
Evidence
Digital filters with constant coefficients are an efficient and flexible approach for modelling LTI systems and signals. However, real world signals and systems can change their parameters as a function of time. There is a need for signal processing systems and algorithms that are able to adapt to changing conditions, or that are able to learn or can be trained to behave in a desired manner. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 440
Categorization
Category: Causal Relationships
Related
- Real-world signals change over time, so fixed filters need adaptation (similarity 0.98)
- Adaptive filtering changes filter coefficients over time in response to signals. (similarity 0.83)
- Filtering a signal to narrow its bandwidth necessarily spreads it in time. (similarity 0.82)
- Filters and the signal’s time response are physically coupled tradeoffs (similarity 0.82)
- A filter’s time response is set by its bandwidth, not its center frequency (similarity 0.80)
- Any band-limited linear time-invariant system can be implemented as a digital filter (similarity 0.79)