|Signal Processing Toolbox|
Decrease the sampling rate for a sequence (decimation)
Decimation reduces the original sampling rate for a sequence to a lower rate, the opposite of interpolation. The decimation process filters the input data with a lowpass filter and then resamples the resulting smoothed signal at a lower rate.
y = decimate(x,r)
reduces the sample rate of
x by a factor
r. The decimated vector
r times shorter in length than the input vector
x. By default,
decimate employs an eighth-order lowpass Chebyshev Type I filter. It filters the input sequence in both the forward and reverse directions to remove all phase distortion, effectively doubling the filter order.
y = decimate(x,r,n)
uses an order
n Chebyshev filter. Orders above 13 are not recommended because of numerical instability. MATLAB displays a warning in this case.
y = decimate(x,r,' uses a 30-point FIR filter, instead of the Chebyshev IIR filter. Here
decimate filters the input sequence in only one direction. This technique conserves memory and is useful for working with long sequences.
y = decimate(x,r,n,' uses a length
n FIR filter.
Decimate a signal by a factor of four:
View the original and decimated signals:
decimate uses decimation algorithms 8.2 and 8.3 from :
decimateuses a Chebyshev Type I filter with normalized cutoff frequency
0.8/rand 0.05 dB of passband ripple. For the
decimatedesigns a lowpass FIR filter with cutoff frequency
decimateapplies the filter to the input vector in one direction. In the IIR case,
decimateapplies the filter in forward and reverse directions with
decimateresamples the filtered data by selecting every
r is not an integer,
decimate gives the following error message:
n specifies an IIR filter with order greater than 13,
decimate gives the following warning:
 IEEE. Programs for Digital Signal Processing. IEEE Press. New York: John Wiley & Sons, 1979. Chapter 8.