Estimation of TDOA for room reflections by iterative weighted l1 constraint

Room impulse response estimation by iterative weighted L1-norm

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 reweigh...

An iterative approach for estimation of efficiency by weighted distance

Advanced Disambiguation of TDOA Estimates in The Presence of Reverberation

The Time Difference of Arrival estimate between the signals acquired by pairs of microphones placed in a room with a single sound source performed by maxima search of the Generalized Cross Correlation function is negatively affected by reverberation. Sound reflections in a room generate a great number of non direct source microphone paths each of which translates in an unpredictable number of s...

Weighted Spatial Covariance Matrix Estimation for MUSIC Based TDOA Estimation of Speech Source

We study the estimation of time difference of arrival (TDOA) under noisy and reverberant conditions. Conventional TDOA estimation methods such as MUltiple SIgnal Classification (MUSIC) are not robust to noise and reverberation due to the distortion in the spatial covariance matrix (SCM). To address this issue, this paper proposes a robust SCM estimation method, called weighted SCM (WSCM). In th...

An iterative method for the Hermitian-generalized Hamiltonian solutions to the inverse problem AX=B with a submatrix constraint

In this paper, an iterative method is proposed for solving the matrix inverse problem $AX=B$ for Hermitian-generalized Hamiltonian matrices with a submatrix constraint. By this iterative method, for any initial matrix $A_0$, a solution $A^*$ can be obtained in finite iteration steps in the absence of roundoff errors, and the solution with least norm can be obtained by choosing a special kind of...