Frequency sampling-based FIR filter design
returns
an b
= fir2(n
,f,m
)n
th-order FIR filter with frequency-magnitude
characteristics specified in the vectors f
and m
.
The function linearly interpolates the desired frequency response
onto a dense grid and then uses the inverse Fourier transform and
a Hamming window to obtain the filter coefficients.
Note
Use |
[1] Mitra, Sanjit K. Digital Signal Processing: A Computer Based Approach. New York: McGraw-Hill, 1998.
[2] Jackson, L. B. Digital Filters and Signal Processing. 3rd Ed. Boston: Kluwer Academic Publishers, 1996.