rc_fir
FIR approximation of raised cosine filter
Parameters
- beta:
rool-off factor
- osf:
over sampling factor
- n:
number of coefficients of the FIR filter
rool-off factor
over sampling factor
number of coefficients of the FIR filter
Calling sequence
y = rc_fir(r,osf,n)
y = rc_fir(r,osf,n,'sum') Normalize the coefficients to have sum = 1 (default behavior)
y = rc_fir(r,osf,n,'energy') Normalize the coefficients to preserve energy : <span><img src='./_LaTeX_rc_fir.xml_1.png' style='position:relative;top:21px;width:85px;height:42px'/></span>
y = rc_fir(r,osf,n) y = rc_fir(r,osf,n,'sum') Normalize the coefficients to have sum = 1 (default behavior) y = rc_fir(r,osf,n,'energy') Normalize the coefficients to preserve energy : <span><img src='./_LaTeX_rc_fir.xml_1.png' style='position:relative;top:21px;width:85px;height:42px'/></span>
Description
Examples
h = rc_fir(r=0.5,osf=2,n=5);
plot_rimp(h);
h = rc_fir(r=0.5,osf=2,n=5); plot_rimp(h); |