# impulse

Impulse response for rational function object

 Note:   `impulse` may be removed in a future release. Use `timeresp` instead.

## Syntax

`[resp,t] = impulse(h,ts,n)`

## Description

`[resp,t] = impulse(h,ts,n)` computes the impulse response, `resp`, of the rational function object, `h`, over the time period specified by `ts` and `n`.

 Note:   While you can compute the output response for a rational function object by computing the impulse response of the object and then convolving that response with the input signal, this approach is not recommended. Instead, you should use the `timeresp` method to perform this computation because it generally gives a more accurate output signal for a given input signal.

The input `h` is the handle of a rational function object. `ts` is a positive scalar value that specifies the sample time of the computed impulse response, and `n` is a positive integer that specifies the total number of samples in the response.

The vector of time samples of the impulse response, `t`, is computed from the inputs as `t = [0,ts,2*ts,...,(n-1)*ts]`. The impulse response, `resp`, is an `n`-element vector of impulse response values corresponding to these times. It is computed using the analytical form of the rational function

$resp=\sum _{k=1}^{M}{C}_{k}{e}^{{A}_{k}\left(t-Delay\right)}u\left(t-Delay\right)+D\delta \left(t-Delay\right)$

where

• `A`, `C`, `D`, and `Delay` are properties of the rational function object, `h`.

• `M` is the number of poles in the rational function object.

## Examples

The following example shows you how to compute the impulse response of the data stored in the file `default.s2p` by fitting a rational function object to the data and using the `impulse` method to compute the impulse response of the object.

```orig_data=read(rfdata.data,'default.s2p') freq=orig_data.Freq; data=orig_data.S_Parameters(2,1,:); fit_data=rationalfit(freq,data) [resp,t]=impulse(fit_data,1e-12,1e4); plot(t,resp); ```