Construct polynomial sample-rate converter (POLYSRC) filter designer
d = fdesign.polysrc(l,m)
d = fdesign.polysrc(l,m,'Fractional Delay','Np',Np)
d = fdesign.polysrc(...,Fs)
d = fdesign.polysrc(l,m) constructs
a polynomial sample-rate converter filter designer D with an interpolation
factor L and a decimation factor M. L defaults to 3. M defaults to
2. L and M can be arbitrary positive numbers.
d = fdesign.polysrc(l,m,'Fractional Delay','Np',Np) initializes
the filter designer specification with Np and sets the polynomial
order to the value Np. If omitted Np defaults to 3.
d = fdesign.polysrc(...,Fs) specifies
the sampling frequency (in Hz).
This example shows how to design sample-rate converter that uses a 3rd order Lagrange interpolation filter to convert from 44.1kHz to 48kHz.
[L,M] = rat(48/44.1); f = fdesign.polysrc(L,M,'Fractional Delay','Np',3); Hm = design(f,'lagrange');
Original sampling frequency
Fs = 44.1e3;
9408 samples, 0.213 seconds long
n = 0:9407;
Original signal, sinusoid at 1kHz
x = sin(2*pi*1e3/Fs*n);
10241 samples, still 0.213 seconds
y = filter(Hm,x);
Plot original sampled at 44.1kHz
stem(n(1:45)/Fs,x(1:45)) hold on
Plot fractionally interpolated signal (48kHz) in red
stem((n(3:51)-2)/(Fs*L/M),y(3:51),'r','filled') xlabel('Time (sec)');ylabel('Signal value') legend('44.1 kHz sample rate','48 kHz sample rate')
For more information about Farrow SRCs, see the "Efficient Sample Rate Conversion between Arbitrary Factors" example,