Optimal design of adjustable frequency response linear-phase filters

A digital linear-phase finite-length impulse response (FIR) filter design method is proposed, which has adjustable frequency response. For this purpose, Farrow structure is employed in which the overall transfer function is a weighted linear combination of fixed subfilters and where the weights are directly determined by the input parameter. Optimal design technique is introduced which generates globally optimal overall filters in the Chebyshev sense over a whole set of filter specifications. An example is included in the paper to demonstrate the effectiveness.