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1-D digital filter

`y = filter(b,a,x)`

`y = filter(b,a,x,zi)`

`y = filter(b,a,x,zi,dim)`

```
[y,zf] =
filter(___)
```

filters
the input data `y`

= filter(`b`

,`a`

,`x`

)`x`

using a rational transfer function defined
by the numerator and denominator coefficients `b`

and `a`

.

If `a(1)`

is not equal to `1`

,
then `filter`

normalizes the filter coefficients
by `a(1)`

. Therefore, `a(1)`

must
be nonzero.

If

`x`

is a vector, then`filter`

returns the filtered data as a vector of the same size as`x`

.If

`x`

is a matrix, then`filter`

acts along the first dimension and returns the filtered data for each column.If

`x`

is a multidimensional array, then`filter`

acts along the first array dimension whose size does not equal 1.

If you have the Signal Processing Toolbox™, you can design a filter,

`d`

, using`designfilt`

. Then, you can use`Y = filter(d,X)`

to filter your data.

[1] Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice-Hall, 1999.

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