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Non-causal Zero Phase FIR Filter With Examples

Document #:
LARP-doc-359-v1
Document type:
Note
Submitted by:
Cheng-Yang Tan
Updated by:
Cheng-Yang Tan
Document Created:
14 Aug 2006, 15:04
Contents Revised:
14 Aug 2006, 15:04
Metadata Revised:
14 Aug 2006, 15:04
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Abstract:
This is a quick (but not short) note to see how a non-causal zero
phase FIR filter can be implemented with an incoming continuous data
stream. Obviously, for non-causal filters to to work, the sampling
rate of the incoming stream must be higher than the outgoing stream
because non-causal filters must know not only the past, it must also
know the future. I will describe three ways to construct the
non-causal zero phase FIR filter with examples. I will also show an
implementation in {\it C++\/} which will use existing FIR filter
functions to make the non-causal zero-phase filters.
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Keywords:
Non Causal FIR filters
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