Room impulse response estimation by iterative weighted L1-norm. Crocco, M. & Del Bue, A. In 2015 23rd European Signal Processing Conference (EUSIPCO), pages 1895-1899, Aug, 2015.
Room impulse response estimation by iterative weighted L1-norm [pdf]Paper  doi  abstract   bibtex   
This paper presents a novel method to solve for the challenging problem of acoustic Room Impulse Response estimation (RIR). The approach formulates the RIR estimation as a Blind Channel Identification (BCI) problem and it exploits sparsity and non-negativity priors to reduce illposedness and to increase robustness of the solution to noise. This provides an iterative procedure based on a reweighted l1-norm penalty and a standard l1-norm constraint. The proposed method guarantees the convexity of the problem at each iteration, it avoids drawbacks related to anchor constraints and it enforces sparsity in a more effective way with respect to standard l1-norm penalty approaches. Experiments show that our approach outperform current state of the art methods on speech and non-speech real signals.

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