You are here : matlabSignal Processingimpz

impz() - Signal Processing

[h,t] = impz(b,a) returns
the impulse response of the filter with numerator coefficients, b,
and denominator coefficients, a. impz chooses
the number of samples and returns the response in the column vector, h,
and the sample times in the column vector, t. t = [0:n-1]' and n = length(t) is computed
automatically.[h,t] = impz(sos)returns the impulse response
for the second-order sections matrix, sos. sos is
a K-by-6 matrix, where the number of sections, K,
must be greater than or equal to 2. If the number of sections is less
than 2, impz considers the input to be a numerator
vector. Each row of sos corresponds to the coefficients
of a second order (biquad) filter. The ith row
of the sos matrix corresponds to [bi(1)
bi(2) bi(3) ai(1) ai(2) ai(3)].[h,t] = impz(d) returns the impulse response
of a digital filter, d. Use designfilt to generate d based
on frequency-response specifications.[h,t] = impz(...,n) computes n samples
of the impulse response when n is an integer (t = [0:n-1]'). If n is
a vector of integers, impz computes the impulse
response at those integer locations, starting the response computation
from 0 (and t = n or t = [0 n]). If, instead
of n, you include the empty vector, [],
for the second argument, the number of samples is computed automatically.[h,t] = impz(...,n,fs) computes n samples
and produces a vector t of length n so
that the samples are spaced 1/fs units apart.impz(...) with no output arguments
plots the impulse response of the filter.impz works for both real and complex input

If the input to impz is single precision,
the impulse response is calculated using single-precision arithmetic.
The output, h, is single precision.


[h,t] = impz(b,a)[h,t] = impz(sos)[h,t] = impz(d)[h,t] = impz(...,n)[h,t] = impz(...,n,fs)impz(...)


filter(b,a,[1 zeros(1,n-1)])

Output / Return Value


Alternatives / See Also