Improved minimum-order augmented pipelining algorithm

Abstract

Firstly, a comparison of overall performance between minimum-order augmented pipelining (MAP) clustered look-ahead (CLA) filters and scattered look-ahead (SLA) filters is extensively achieved. From the results, the MAP algorithm is revealed to have a problematic domain searching procedure for finding optimized pipelining coefficients. To solve the problems and improve the numerical performance, we propose an improved MAP (IMAP) algorithm, which is especially beneficial for high-Q ultra-high-speed digital filters. The IMAP algorithm is optimized in the aspect of the minimization of augmented pipelining order and undesirable quantization effects simultaneously. Performance of IMAP is compared with that of the conventional MAP algorithm, to demonstrate the advantage of the IMAP algorithm.