A causal filter is a type of filter used in signal processing that responds only to current and past input values, meaning it does not have any dependency on future input values. This characteristic makes causal filters particularly suitable for real-time applications where future data is not available for processing. Causality is important in many applications, such as audio and video processing, control systems, and communication systems, where real-time processing is critical.
Articles by others on the same topic
There are currently no matching articles.