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Convolution Example 3: Matched Filtering
Figure 7.5:
Illustration of convolution of
and ``matched filter''
(
).
![\includegraphics[width=2.5in]{eps/conv}](http://www.dsprelated.com/josimages/mdft/img1181.png) |
Figure 7.5 illustrates convolution of
to get
![$\displaystyle y\circledast h = [4,3,2,1,0,1,2,3]. \protect$](http://www.dsprelated.com/josimages/mdft/img1183.png) |
(7.3) |
For example,

could be a ``rectangularly windowed
signal, zero-padded by
a factor of 2,'' where the signal happened to be
dc (all

s).
For the
convolution, we need
which is the same as

. When

, we say that

is a
matched filter for

.
7.7 In this case,

is matched to look for a
``
dc component,'' and also zero-padded by a factor of

. The
zero-padding serves to simulate acyclic convolution using
circular
convolution. Note from Eq.

(
7.3) that the maximum is obtained
in the convolution output at time 0. This peak (the largest
possible if all input signals are limited to
![$ [-1,1]$](http://www.dsprelated.com/josimages/mdft/img1186.png)
in magnitude),
indicates the matched filter has ``found'' the dc signal starting at
time 0. This peak would persist in the presence of some amount of
noise and/or
interference from other signals. Thus, matched filtering
is useful for detecting known signals in the presence of
noise and/or
interference [
32].
Previous:
Convolution Example 2: ADSR EnvelopeNext:
Graphical Convolution
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.