filter

Syntax

y=filter(b,a,x)

y=filter(b,[],x)

y=filter(b,a,x,[],dim)

Inputs

b

The numerator polynomial coefficients of the filter.

Type: double

Dimension: vector

a

The denominator polynomial coefficients of the filter.

Type: double

Dimension: vector

x

The signal to be filtered. If x is a matrix, then each column is filtered.

Type: double

Dimension: vector | matrix

dim

The dimension on which to operate.

Default: first non-singleton dimension.

Type: integer

Dimension: scalar

Outputs

y

The filtered signal.

Example

Filter a signal with a 100 Hz Butterworth filter using filter.

% define signal
f1 = 62.5;
f2 = 250;
omega1 = 2*pi*f1;
omega2 = 2*pi*f2;
fs = 2000;
ts = 1/fs;
n = 100;
t = [0:ts:n*ts];
signal = sqrt(2) * sin(0.5*omega1*t) + sin(omega1*t) + 0.25 * sin(omega2*t);

% define filter
[a,b] = butter(4,100/(fs/2));

% filter signal and plot
output = filter(a,b,signal);
plot(t,signal);
hold on;
plot(t,output);
legend('raw signal', 'filtered signal');

Figure 1. filter figure 1

Comments

An infinite impulse response (IIR) filter has both a numerator and a denominator. A finite impulse response (FIR) filters has only a numerator, so its denominator is specified as [].

When specifying dim, the fourth argument should be []. It is a placeholder for the initial conditions, which are not yet supported.