Examples
A=1:10; B=[1 -1]; conv(A,B) |  |  |
discrete 1-D convolution.
C = conv(A,B [,shape])
a real or complex vector.
a real or complex vector.
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 as A."valid", conv
computes the convolution parts without the zero-padding
of A.a real or complex vector.
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:
shape=="full" the
dimensions of the resultC are given by
size(A,'*')+size(B,'*')+1. The indices of the
center element of B are defined as
floor((size(B,'*')+1)/2).shape=="same" the
dimensions of the resultC are given by
size(A). The indices of the
center element of B are defined as
floor((size(B,'*')+1)/2).shape=="valid" the dimensions
of the result C are given by
size(A,'*')-size(B,'*')+1) if
and(size(A,'*')-size(B,'*'))>=0 else
C is empty . The indices of the center
element of B are defined as
1.Note that convol can be more efficient for large arrays.
A=1:10; B=[1 -1]; conv(A,B) | | |
The conv function is based on the conv2 builtin.
| Version | Description |
| 5.4.0 | Function conv introduced. |