Filter Design Toolbox

Designing Advanced Filters

The Optimal Filter Design Problem

Filter Design Toolbox provides you with the tools to design optimal filters in the finite impulse response (FIR) and infinite impulse response (IIR) domains.

Often, filter design techniques and algorithms result in filters that are easy to apply and put relatively light demands on computational systems. While these filters are acceptable in many instances, they are not optimal solutions to the filtering needs of some digital signal processing implementations. Suboptimal filter designs can meet the performance specifications for the filter, but generally at the expense of increased filter order. This can result in increased arithmetic computational load for each input sample and lower operating speed than may be possible and necessary.

You use the functions firlpnorm, gremez, iirlpnorm, and iirlpnormc to design optimal filters. The following sections review the optimal filter design problem and introduce the filter design functions included in the toolbox:

• Optimal Filter Design Theory
• Optimal Filter Design Solutions
• Advanced FIR Filter Designs
• Examples--Using gremez to Design FIR Filters
• Advanced IIR Filter Designs
• Examples -- Using Filter Design Toolbox Functions to Design IIR Filters

Selected Bibliography

Optimal Filter Design Theory