Decimation — decrease sample rate by integer factor
y = decimate(x,r)
y = decimate(x,r,n)
y = decimate(x,r,'fir')
y = decimate(x,r,n,'fir')
Create a sinusoidal signal sampled at 4 kHz. Decimate it by a factor of four.
t = 0:.00025:1; x = sin(2*pi*30*t) + sin(2*pi*60*t); y = decimate(x,4);
Plot the original and decimated signals.
subplot 211 stem(0:120,x(1:121),'filled','markersize',3) grid on xlabel 'Sample number',ylabel 'Original' subplot 212 stem(0:30,y(1:31),'filled','markersize',3) grid on xlabel 'Sample number',ylabel 'Decimated'
Create a signal with two sinusoids. Decimate it by a factor of 13 using a Chebyshev IIR filter of order 5. Plot the original and decimated signals.
r = 13; n = 16:365; lx = length(n); x = sin(2*pi*n/153) + cos(2*pi*n/127); plot(0:lx-1,x,'o') hold on y = decimate(x,r,5); stem(lx-1:-r:0,fliplr(y),'ro','filled','markersize',4) legend('Original','Decimated','Location','south') xlabel('Sample number') ylabel('Signal')
The original and decimated signals have matching last elements.
Create a signal with two sinusoids. Decimate it by a factor of 13 using an FIR filter of order 82. Plot the original and decimated signals.
r = 13; n = 16:365; lx = length(n); x = sin(2*pi*n/153) + cos(2*pi*n/127); plot(0:lx-1,x,'o') hold on y = decimate(x,r,82,'fir'); stem(0:r:lx-1,y,'ro','filled','markersize',4) legend('Original','Decimated','Location','south') xlabel('Sample number') ylabel('Signal')
The original and decimated signals have matching first elements.
x— Input signal
Input signal, specified as a vector.
r— Decimation factor
Decimation factor, specified as a positive integer. For better results
r is greater than 13, divide
r into smaller factors and call
decimate several times.
n— Filter order
Filter order, specified as a positive integer. IIR filter orders above 13 are not recommended because of numerical instability. The function displays a warning in those cases.
y— Decimated signal
Decimated signal, returned as a vector.
Decimation reduces the original sample rate of a sequence to a lower rate. It is the
opposite of interpolation.
decimate lowpass filters the input to
guard against aliasing and downsamples the result. The function uses decimation
algorithms 8.2 and 8.3 from .
decimate creates a lowpass filter. The default is a
Chebyshev Type I filter designed using
cheby1. This filter has a
normalized cutoff frequency of
0.8/r and a passband
ripple of 0.05 dB. Sometimes, the specified filter order produces
passband distortion due to round-off errors accumulated from the
convolutions needed to create the transfer function.
decimate automatically reduces the filter order
when distortion causes the magnitude response at the cutoff frequency to
differ from the ripple by more than 10–6.
'fir' option is chosen,
fir1 to design a lowpass FIR
filter with cutoff frequency
When using the FIR filter,
decimate filters the input
sequence in only one direction. This conserves memory and is useful for
working with long sequences. In the IIR case,
applies the filter in the forward and reverse directions using
filtfilt to remove phase distortion. In effect, this process
doubles the filter order. In both cases, the function minimizes transient
effects at both ends of the signal by matching endpoint conditions.
decimate resamples the data by selecting
rth point from the interior of the filtered signal.
In the resampled sequence (
x(end) when the IIR
filter is used, and
when the FIR filter is used.
 Digital Signal Processing Committee of the IEEE® Acoustics, Speech, and Signal Processing Society, eds. Programs for Digital Signal Processing. New York: IEEE Press, 1979.