Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a discrete-time time-domain vector fitting algorithm, called TD-VFz, for rational function macromodeling of port-to-port responses with discrete time-sampled data. The core routine involves a two-step pole refinement process based on a linear least-squares solve and an eigenvalue problem. Applications in the macromodeling of practical circuits demonstrate that TD-VFz exhibits fast computation, excellent accuracy, and robustness against noisy data.  also utilize an quasi-error bound unique to the discrete-time setting to facilitate the determination of approximant model order.
['Chi-Un Lei', 'Ngai Wong']
I am writing a research paper on a idea Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Linear Macromodeling via Discrete-Time Time-Domain Vector Fitting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a discrete-time time-domain vector fitting algorithm, called TD-VFz, for rational function macromodeling of port-to-port responses with discrete time-sampled data. The core routine involves a two-step pole refinement process based on a linear least-squares solve and an eigenvalue problem. Applications in the macromodeling of practical circuits demonstrate that TD-VFz exhibits fast computation, excellent accuracy, and robustness against noisy data.  also utilize an quasi-error bound unique to the discrete-time setting to facilitate the determination of approximant model order."}]