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Reconstruction from Samples--Pictorial Version
Figure D.1 shows how a sound is reconstructed from its
samples. Each sample can be considered as specifying the
scaling and location of a sinc function. The
discrete-time signal being interpolated in the figure is
a digital rectangular pulse:
The
sinc functions are drawn with dashed lines, and they sum to
produce the solid curve. An isolated sinc function is shown in
Fig.
D.2. Note the ``Gibb's overshoot'' near the corners of the
continuous rectangular pulse in
Fig.
D.1 due to bandlimiting. (A true continuous rectangular
pulse has infinite
bandwidth.)
Figure D.1:
Summation of weighted sinc
functions to create a continuous waveform from discrete-time samples.
![\includegraphics[width=\textwidth]{eps/SincSum}](http://www.dsprelated.com/josimages/mdft/img1754.png) |
Notice that each sinc function passes through zero at every sample
instant but the one it is centered on, where it passes through 1.
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Introduction to SamplingNext:
The Sinc Function
written by Julius Orion Smith III
Julius Smith's background is in electrical engineering (BS Rice 1975, PhD Stanford 1983). He is presently Professor of Music and Associate Professor (by courtesy) of Electrical Engineering at
Stanford's Center for Computer Research in Music and Acoustics (CCRMA), teaching courses and pursuing research related to signal processing applied to music and audio systems. See
http://ccrma.stanford.edu/~jos/ for details.