Abstract
Optimal and suboptimal design techniques for surface acoustic wave (SAW) linear phase filters based on both the Remez exchange algorithm and the McClellan computer program (J.H. McClellan et al., 1973) are considered. The optimal synthesis provides uniquely the best fit to a design target, but its major drawback is an excessive amount of computation. The suboptimal synthesis technique proposed allows a considerable reduction of the amount of computations without significantly sacrificing the approximation accuracy. Thus computer runtime and storage are greatly reduced compared to the optimal synthesis. The detailed suboptimal theory and some practical design aspects are discussed. Design examples are presented which confirm the efficiency and the flexibility of the synthesis techniques proposed.
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