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In [[signal processing]], '''''Overlap–save''''' is the traditional name for an efficient way to evaluate the [[Convolution#Discrete convolution|discrete convolution]] between a very long signal <math>x[n]</math> and a [[finite impulse response]] (FIR) filter <math>h[n]</math>''':'''
[[Image:Overlap-save algorithm.svg|thumb|
|[[#refRabiner|Rabiner and Gold]], Fig 2.35, fourth trace.
}} The FIR filter is a boxcar lowpass with M=16 samples, the length of the segments is L=100 samples and the overlap is 15 samples.]]
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