Single-channel noise reduction via semi-orthogonal transformations and reduced-rank filtering


This paper investigates the problem of single-channel noise reduction in the time domain. The objective is to find a lower dimensional filter that can yield a noise reduction performance as close as possible to or even better than that obtained by the full-rank solution. This is achieved in three steps. First, we transform the observation signal vector… (More)
DOI: 10.1016/j.specom.2015.12.007


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