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.

[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.

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