Scilab 6.0.1
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
conv
discrete 1-D convolution.
Syntax
C = conv(A,B [,shape])
Parameters
- A
a real or complex vector.
- B
a real or complex vector.
- shape
an optional character string with possible values:
"full"
,conv
computes the full convolution. It is the default value."same"
,conv
computes the central part of the convolution of the same size asA
."valid"
,conv
computes the convolution parts without the zero-padding ofA
.
- C
a real or complex vector.
Description
conv
uses a straightforward formal
implementation of the one-dimensional convolution equation in
spatial form.
C=conv(A,B [,shape])
computes the
one-dimensional convolution of the vectors A
and B
:
- With
shape=="full"
the dimensions of the resultC
are given bysize(A,'*')+size(B,'*')+1
. The indices of the center element ofB
are defined asfloor((size(B,'*')+1)/2)
. - With
shape=="same"
the dimensions of the resultC
are given bysize(A)
. The indices of the center element ofB
are defined asfloor((size(B,'*')+1)/2)
. - With
shape=="valid"
the dimensions of the resultC
are given bysize(A,'*')-size(B,'*')+1)
ifand(size(A,'*')-size(B,'*'))>=0
elseC
is empty . The indices of the center element ofB
are defined as1
.
Note that convol can be more efficient for large arrays.
Examples
A=1:10; B=[1 -1]; conv(A,B)
Used Functions
The conv function is based on the conv2 builtin.
History
Version | Description |
5.4.0 | Function conv introduced. |
Report an issue | ||
<< Corrélation de Convolution | Corrélation de Convolution | conv2 >> |