Extended benchmark results for impulse response estimation

Recent attention has been given to the use of regularised least-squares methods for improving the quality of classical impulse response estimates from short/noisy datasets. This paper significantly augments and contextualises previously reported benchmark results by inclusion of a larger set of standard and non-standard methods in the comparison. The numerical experiments are summarised using several metrics. There is no obvious winner method.