# freqz

Compute frequency response

## Description

## Examples

### Frequency Response of `gammatoneFilterBank`

Create a `gammatoneFilterBank`

object. Call `freqz`

to get the complex frequency response, `H`

, of the filter bank and a vector of frequencies, `f`

, at which the response is calculated. Plot the magnitude frequency response of the filter bank.

```
gammaFiltBank = gammatoneFilterBank;
[H,f] = freqz(gammaFiltBank);
plot(f,abs(H))
xlabel("Frequency (Hz)")
```

To get the frequency response of a subset of filters in the filter bank, specify the second argument as a row vector of indices between one and the number of filters in the filter bank. Get the frequency response of the 10th filter in the filter bank and plot the magnitude frequency response.

```
[H,f] = freqz(gammaFiltBank,10);
plot(f,abs(H))
xlabel("Frequency (Hz)")
```

To specify the number of points in the frequency response, use the `N`

name-value argument. Specify that the frequency response contains 128 points. Plot the magnitude frequency response.

```
[H,f] = freqz(gammaFiltBank,N=128);
plot(f,abs(H))
xlabel("Frequency (Hz)")
```

To visualize the magnitude frequency response only, call `freqz`

without any output arguments. Plot the magnitude frequency response, in dB, of filters 20, 21, and 22 with 1024 points.

freqz(gammaFiltBank,[20,21,22],N=1024)

### Frequency Response of `octaveFilterBank`

Create an `octaveFilterBank`

object. Call `freqz`

to get the complex frequency response, `H`

, of the filter bank and a vector of frequencies, `f`

, at which the response is calculated. Plot the magnitude frequency response in dB.

octFiltBank = octaveFilterBank; [H,f] = freqz(octFiltBank); plot(f,20*log10(abs(H))) xlabel("Frequency (Hz)") ylabel("Magnitude (dB)") set(gca,XScale="log") axis([10 octFiltBank.SampleRate/2 -100 2])

To get the frequency response of a subset of filters in the filter bank, specify the second argument as a row vector of indices between one and the number of filters in the filter bank. Get the frequency response of the 5th filter in the filter bank and plot the magnitude frequency response in dB.

[H,f] = freqz(octFiltBank,5); plot(f,20*log10(abs(H))) xlabel("Frequency (Hz)") ylabel("Magnitude (dB)") set(gca,XScale="log") axis([10 octFiltBank.SampleRate/2 -100 2])

To specify the number of points in the frequency response, use the `N`

name-value argument. Specify that the frequency response contains 8192 points. Plot the magnitude frequency response in dB.

[H,f] = freqz(octFiltBank,N=8192); plot(f,20*log10(abs(H))) xlabel("Frequency (Hz)") ylabel("Magnitude (dB)") set(gca,XScale="log") axis([10 octFiltBank.SampleRate/2 -100 2])

To visualize the magnitude frequency response only, call `freqz`

without any output arguments. Plot the magnitude frequency response, in dB, of filters 4, 5, and 6 with 1024 points.

freqz(octFiltBank,[4,5,6],N=1024)

## Input Arguments

`obj`

— Object to get filter frequency responses from

`gammatoneFilterBank`

| `octaveFilterBank`

Object to get filter frequency responses from, specified as an object of `gammatoneFilterBank`

or `octaveFilterBank`

.

`ind`

— Indices of filters to calculate frequency responses from

1:*N* (default) | row vector of integers with values in the range [1, *N*]

Indices of filters to calculate frequency responses from, specified as a row vector
of integers with values in the range [1, *N*]. *N* is
the total number of filters designed by `obj`

.

`n`

— Number of points in frequency response

8192 (default) | positive integer

Number of points in the frequency response, specified as a positive integer.

**Data Types: **`single`

| `double`

| `int8`

| `int16`

| `int32`

| `int64`

| `uint8`

| `uint16`

| `uint32`

| `uint64`

## Output Arguments

`H`

— Complex frequency response of each filter

matrix

`f`

— Frequencies at which response is computed (Hz)

column vector

Frequencies at which the response is computed in Hz, returned as a column vector.

**Data Types: **`double`

## Version History

**Introduced in R2019a**

## See Also

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