Non-causal Filter

Definition: A non-causal filter is a type of filter that depends not only on past and present time points but also integrates information of future time points of a given signal. This is in contrast to causal filters, which only use past and present samples to filter a signal. A typical implementation of a non-causal filter is a zero-phase filter which suppresses distortions such as phase delays which are commonly introduced by causal filters. Zero-phase filters are typically implemented by running a causal filter forward and backward over the data.

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Synonym: Acausal filters, zero-phase filter

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Related terms: Causal filter, filtering, data preprocessing