The paper develops a novel error metric (rational function) for designing a high-order phase equaliser. The equaliser is an allpass system with multiple second-order (2nd-order) allpass sub-systems connected in cascade. Such a cascade system has several advantages, including insensitivity to quantisation noise as well as a high degree of modularity in hardware implementation. Based on the cascade configuration, this paper first derives the rational phase-error metric, and then shows how to use nonlinear programming to optimise the equaliser parameters. The optimisation process integrates a stability-guaranteeing procedure for ensuring the equaliser stability. To reach the optimal solution rapidly, this paper also develops a least-squares algorithm to locate a good starting point for beginning the nonlinear programming. The last part of this paper uses an example of designing a 10th-order cascade equaliser to validate the error-metric-based design. As compared to existing designs based on non-cascade structures, the simulations confirm that this new optimisation technique can produce a highly accurate allpass phase equaliser while ensuring the equaliser stability. Therefore, the rational phase-error metric acts as an essential cost function for designing a high-order allpass cascade phase equaliser, which facilitates the design formulation and also the stability guarantee of the resulting equaliser.
No takes yet. Share an insight, caveat, or question.
Tian–Bo Deng (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: