You are here : matlab → Signal Processing → stepz
# stepz() - Signal Processing

### Syntax

### Example

### Output / Return Value

### Limitations

### Alternatives / See Also

### Reference

[h,t] = stepz(b,a) returns the step response of the filter with numerator coefficients, b, and denominator coefficients, a. stepz chooses the number of samples and returns the response in the column vector h and sample times in the column vector t (where t = [0:n-1]', and n = length(t) is computed automatically).[h,t] = stepz(sos) returns the step response of 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, stepz considers the input to be the numerator vector, b. 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] = stepz(d) returns the step response of the digital filter, d. Use designfilt to generate d based on frequency-response specifications.[h,t] = stepz(...,n) computes the first n samples of the step response when n is an integer (t = [0:n-1]'). If n is a vector of integers, the step response is computed only at those integer values with 0 denoting the time origin.[h,t] = stepz(...,n,fs) computes n samples and produces a vector t of length n so that the samples are spaced 1/fs units apart. fs is assumed to be in Hz.stepz(...) with no output arguments plots the step response of the filter. If you input the filter coefficients or second order sections matrix, the current figure window is used. If you input a digitalFilter, the step response is displayed in fvtool.Note: If the input to stepz is single precision, the step response is calculated using single-precision arithmetic. The output, h, is single precision.

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

filter(b,a,ones(1,n))