This paper considers the problem of predictive fusion coding for storage of multiple spatio-temporally correlated sources so as to enable efficient selective retrieval of data fr...
We deal with consensus-based online estimation and tracking of (non-) stationary signals using ad hoc wireless sensor networks (WSNs). A distributed (D-) least-mean square (LMS) l...
Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Gi...
Joint linear minimum sum mean-squared error (referred to as MSMSE) transmitter and receiver (transceiver) optimization problems are formulated for multiuser MIMO systems under a s...
This paper introduces a new way to measure rhythmic similarity between two musical pieces using periodicity spectra. In order to detect similarity for pieces of different tempi, t...
This paper deals with the joint estimation of temporal (timedelay, Doppler frequency) and spatial (direction-of-arrival, DOA) parameters of several replicas of a known signal in a...
Felix Antreich, Josef A. Nossek, Gonzalo Seco, A. ...
Semidefinite relaxation (SDR) is a high-performance efficient approach to MIMO detection especially for the BPSK or QPSK constellations. Recently, a number of research endeavors...
Wing-Kin Ma, Chao-Cheng Su, Joakim Jalden, Chong-Y...
Adaptive modulation scheme has been widely used in multipleinput multiple-output (MIMO) systems to enhance spectral efficiency while maintaining bit-error rate (BER) under a targ...
We examine the application of current research in sparse signal recovery to the problem of channel estimation. Specifically, using an Orthogonal Frequency Division Multiplexed (O...
Several classification scenarios employ multiple independently trained classifiers and the outputs of these classifiers need to be combined. However, since each of the trained ...
In this paper, a new approach for decoding real-field codes based on finding sparse solutions of underdetermined linear systems is proposed. This algorithm iteratively estimates...
Hadi Zayyani, Massoud Babaie-Zadeh, Christian Jutt...