PIPELINED ADAPTIVE IIR FILTER ARCHITECTURES USING SCATTERED AND RELAXED LOOK-AHEAD TRANSFORMATIONS

Fine-grain pipelined architectures for adaptive infinite impulse respo nse (AIIR) filters are presented in this paper, The AIIR filters are e quation error based. The proposed architectures are developed by emplo ying a combination of scattered look-ahead and relaxed look-ahead pipe lining techniques, First, a pipelined system identification scenario i s developed. Then, the scattered look-ahead technique is applied to th e nonadaptive (but time-varying) recursive section, Finally, a relaxed look-ahead technique is applied to the adaptive blocks. Convergence a nalysis of the pipelined architectures is presented and verified via s imulations, It is shown that speedups of up to 8 and more can be achie ved with marginal or no degradation in performance.