In this paper we propose two novel methods for preserving the spatial information in source separation algorithms. Our approach is applicable to any source separation algorithm an...
Robert Aichner, Herbert Buchner, Meray Zourub, Wal...
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
In narrowband multiple-input multiple-output (MIMO) communication systems, when the channel state information (CSI) is known perfectly at the transmitter and the receiver, techniq...
In this work we derive a new cepstrum based maximum likelihood fundamental frequency estimator that exploits the information of multiple microphones. The new approach results in a...
—In this paper, we study the performance of the channel estimation in a Turbo coded, orthogonal frequency division multiplexing (OFDM) with multiple antennas at the receiver. We ...
Y. Taghinia, Gholamreza Dadashzadeh, Esrafil Jedar...