[impResp,t]
= impz(sysobj) computes the impulse response of the
filter System object™ and returns the response in column vector impResp,
and a vector of times (or sample intervals) in t, where
t = [0 1 2 ...k-1]'. k is the number of
filter coefficients.
[impResp,t]
= impz(sysobj,n) computes the
impulse response at floor(n) one-second intervals. The time
vector t equals (0:floor(n)-1)'.
[impResp,t]
= impz(sysobj,n,fs)
computes the impulse response at floor(n)
1/fs-second intervals. The time vector t
equals (0:floor(n)-1)'/fs.
[impResp,t]
= impz(sysobj,[],fs) computes the
impulse response at k 1/fs-second
intervals. k is the number of filter coefficients. The time
vector t equals (0:k-1)'/fs.
[impResp,t]
= impz(sysobj,Arithmetic=arithType)
computes the impulse response based on the arithmetic specified in
arithType, using either of the previous syntaxes.
impz(sysobj) plots
the impulse response of the filter System object.
You can use impz for both real and complex filters. When you
omit the output arguments, impz plots only the real part of the
impulse response.
For more input options, refer to impz in Signal Processing Toolbox™.
Create a discrete-time filter for a fourth-order, lowpass elliptic filter with a cutoff frequency of 0.4 times the Nyquist frequency. Use a second-order sections structure to resist quantization errors. Plot the first 50 samples of the impulse response, along with the reference impulse response.
d = fdesign.lowpass(.4,.5,1,80);
Create a design object for the prototype filter. Use ellip to design a minimum order discrete-time SOS filter.
sosFilt = design(d,"ellip",Systemobject=true)
sosFilt =
dsp.SOSFilter with properties:
Structure: 'Direct form II'
CoefficientSource: 'Property'
Numerator: [4x3 double]
Denominator: [4x3 double]
HasScaleValues: true
ScaleValues: [0.7277 0.8290 1.3494 0.0048 1]
Use get to show all properties
arithType — Arithmetic type 'double' (default) | 'single' | 'Fixed'
Arithmetic used in the filter analysis, specified as 'double',
'single', or 'Fixed'. When the arithmetic
input is not specified and the filter System object is unlocked, the analysis tool assumes a double-precision filter. When the
arithmetic input is not specified and the System object is locked, the function performs the analysis based on the data type of
the locked input.
The 'Fixed' value applies to filter System objects with fixed-point
properties only.
When the 'Arithmetic' input argument is specified as
'Fixed' and the filter object has the data type of the
coefficients set to 'Same word length as input', the arithmetic
analysis depends on whether the System object is unlocked or locked.
unlocked –– The analysis object function cannot determine the coefficients
data type. The function assumes that the coefficients data type is signed,
has a 16-bit word length, and is auto scaled. The function performs
fixed-point analysis based on this assumption.
locked –– When the input data type is 'double' or
'single', the analysis object function cannot
determine the coefficients data type. The function assumes that the data
type of the coefficients is signed, has a 16-bit word length, and is auto
scaled. The function performs fixed-point analysis based on this
assumption.
To check if the System object is locked or unlocked, use the isLocked function.
When the arithmetic input is specified as 'Fixed' and the filter
object has the data type of the coefficients set to a custom numeric type, the object
function performs fixed-point analysis based on the custom numeric data type.
Impulse response, returned as an n-element vector. If
n is not specified, the length of the impulse
response vector equals the number of coefficients in the filter.
Data Types: double
t — Time vector vector
Time vector of length n, in seconds.
t consists of n equally spaced
points in the range (0:floor(n)-1)'/fs. If
n is not specified, the function uses the number of
coefficients of the filter.
The dsp.BiquadFilter object issues a warning and will be removed
in a future release. Use the dsp.SOSFilter object instead. For more information on how to replace
your existing code, see the Compatibility Considerations
section in the dsp.BiquadFilter reference page.
R2024b: Support for dsp.DCBlocker object
Starting in R2024b, this function supports the dsp.DCBlocker object.
R2024a: impz function no longer uses Filter Visualization
Tool
When you call the impz function with no output arguments, the
function no longer uses Filter Visualization Tool to plot the impulse response of
the filter. Starting in R2024a, the function uses the MATLAB® plot instead.
You do not need to make any changes to your code.
R2023b: Support for dsp.ParallelFilter and dsp.Delay Objects
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