## Generalized Window Method

Reiterating and expanding on points made in §4.6.3, often
we need a filter with a frequency response that is not analytically
known. An example is a *graphic equalizer* in which a user may
manipulate sliders in a graphical user interface to control the gain
in each of several frequency bands. From the foregoing, the following
procedure, based in spirit on the window method (§4.5), can yield
good results:

- Synthesize the desired frequency response as the
*smoothest*possible interpolation of the desired frequency-response points. For example, in a graphic equalizer,*cubic splines*[286] could be used to connect the desired band gains.^{5.12} - If the desired frequency response is real (as in simple band
gains), either plan for a zero-phase filter in the end, or
synthesize a desired phase, such as linear phase or minimum phase
(see §4.8 below).
- Perform the inverse Fourier transform of the (sampled) desired
frequency response to obtain the desired impulse response.
- Plot an overlay of the desired impulse response and the window
to be applied, ensuring that the great majority of the signal energy
in the desired impulse response lies under the window to be used.
- Multiply by the window.
- Take an FFT (now with zero padding introduced by the window).
- Plot an overlay of the original desired response and the response retained after time-domain windowing, and verify that the specifications are within an acceptable range.

**Next Section:**

Minimum-Phase Filter Design

**Previous Section:**

Hilbert Transform Design Example