Causal filter
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In signal processing, a causal filter is a linear and time-invariant causal system. The word causal indicates that the filter output depends only on past and present inputs. A filter whose output also depends on future inputs is acausal. A filter whose output depends only on future inputs is anti-causal. Systems (including filters) that are realizable (i.e. that operate in real time)must be causal because such systems cannot act on a future input. Ineffect that means the output sample that best represents the input attime t, comes out slightly later.A common design practice is to create a realizable filter by shorteningand/or time-shifting a non-causal impulse response. If shortening isnecessary, it is often accomplished as the product of theimpulse-response with a window function.
http://en.wikipedia.org/wiki/Causal_filter
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