## Lowpass Filter Design Specifications

Typical design parameters for a lowpass filter are shown in Fig.4.2.The design parameters are defined as follows:

- stop-band ripple ( dB is common)
- pass-band ripple ( dB typical)
- stop-band edge frequency
- pass-band edge frequency
- TW: transition width
- SBA: stop-band attenuation

^{5.4}For a stop-band gain down around dB, keeping the pass-band ripple at dB, the pass-band ripple becomes around 100 times larger than the stop-band ripple, on a linear scale, but again the stop-band ripple is more likely to yield audible error in typical situations. In summary, the pass-band ripple is an allowed

*gain*deviation, while the stop-band ripple is an allowed ``leakage'' level. In terms of these specifications, we may define an

*optimal FIR lowpass filter*of a given length to be one which minimizes the stop-band and pass-band ripple (weighted relatively as desired) for given stop-band and pass-band edge frequencies. Such optimal filters are often designed in practice by

*Chebyshev*methods, as we encountered already in the study of

*windows*for spectrum analysis (§3.10,§3.13). Optimal Chebyshev FIR filters will be discussed further below (in §4.5.2), but first we look at simpler FIR design methods and compare to optimal Chebyshev designs for reference. An advantage of the simpler methods is that they are more suitable for interactive, real-time, and/or signal-adaptive FIR filter design.

### Ideal Lowpass Filter Revisited

The ideal lowpass filter of Fig.4.1 can now be described by the following specifications:- The transition width TW is zero ( in Fig.4.2).
- The pass-band and stop-band ripples are both zero

( in Fig.4.2, and ).

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Optimal (but poor if unweighted) Least-Squares Impulse Response Design

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The Ideal Lowpass Filter