Image Processing Toolbox User's Guide |
Compute two-dimensional frequency response
Syntax
[H,f1,f2] = freqz2(h,n1,n2) [H,f1,f2] = freqz2(h,[n2 n1]) [H,f1,f2] = freqz2(h) [H,f1,f2] = freqz2(h,f1,f2) [...] = freqz2(h,...,[dx dy]) [...] = freqz2(h,...,dx) freqz2(...)
Description
[H,f1,f2] = freqz2(h,n1,n2)
returns H
, the n2
-by-n1
frequency response of h
, and the frequency vectors f1
(of length n1
) and f2
(of length n2
). h
is a two-dimensional FIR filter, in the form of a computational molecule. f1
and f2
are returned as normalized frequencies in the range -1.0 to 1.0, where 1.0 corresponds to half the sampling frequency, or radians.
[H,f1,f2] = freqz2(h,[n2 n1])
returns the same result returned by [H,f1,f2] = freqz2(h,n1,n2)
.
[H,f1,f2] = freqz2(h)
uses [n2 n1] = [64 64]
.
[H,f1,f2] = freqz2(h,f1,f2)
returns the frequency response for the FIR filter h
at frequency values in f1
and f2
. These frequency values must be in the range -1.0 to 1.0, where 1.0 corresponds to half the sampling frequency, or radians.
[...] = freqz2(h,...,[dx dy])
uses [dx dy]
to override the intersample spacing in h
. dx
determines the spacing for the x dimension and dy
determines the spacing for the y dimension. The default spacing is 0.5, which corresponds to a sampling frequency of 2.0.
[...] = freqz2(h,...,dx)
uses dx
to determine the intersample spacing in both dimensions.
With no output arguments, freqz2(...)
produces a mesh plot of the two-dimensional magnitude frequency response.
Class Support
The input matrix h
can be of class double
or of any integer class. All other inputs to freqz2
must be of class double
. All outputs are of class double
.
Example
Use the window method to create a 16-by-16 filter, then view its frequency response using freqz2
.
Hd = zeros(16,16); Hd(5:12,5:12) = 1; Hd(7:10,7:10) = 0; h = fwind1(Hd,bartlett(16)); colormap(jet(64)) freqz2(h,[32 32]); axis ([-1 1 -1 1 0 1])
See Also
freqz
in the Signal Processing Toolbox User's Guide documentation
freqspace | fsamp2 |
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