Tony Gustafsson

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Room reverberation is typically the main obstacle for designing robust microphone-based source localization systems. The purpose of the paper is to analyze the achievable performance of acoustical source localization methods when room reverberation is present. To facilitate the analysis, we apply well known results from room acoustics to develop a simple(More)
The problem of MIMO recursive identiication is considered and analyzed within the framework of subspace-based state space system identiication (4SID). With respect to previous contributions to this area, in this paper the use of recent signal processing algorithms for the recursive update of the SVD is proposed. To accommodate for arbitrary correlation of(More)
Subspace estimation plays an important role in, for example, sensor array signal processing. Recursive methods for subspace tracking with application to non-stationary environments , have also drawn considerable interest. In this paper, Instrumental Variable (IV) extensions of the recently developed Projection Approximation Subspace Tracking (PAST)(More)
Subspace-based system identi cation is typically based on an estimate of the extended observability matrix. It is thus of great interest to investigate, and also optimize, the estimate of the observability matrix. Of special interest in this paper is the fact that the in3uence of certain weighting matrices is an unresolved issue in the literature on(More)
The main obstacle for designing robust microphone-based source localization systems is the effects of room reverberation. Utilizing results from statistical room acoustics, we analyze the performance of GCC-based methods for time-delay estimation. An interesting outcome of the analysis is that the so-called PHAT time-delay estimator is shown to be optimal(More)
A novel approach for signal parameter estimation, named the Non-Linear Instantaneous Least Squares (NILS) estimator, is proposed and a high SNR statistical analysis of the estimates is presented. The algorithm is generally applicable to deterministic signal in noise models. However, it is of particular interest in applications where the “conventional”(More)