We consider the problem of estimating and detecting sparse signals over a large area of an image or other medium. We introduce a novel cost function that captures the tradeoff bet...
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
We focus on a multidimensional field with uncorrelated spectrum, and study the quality of the reconstructed signal when the field samples are irregularly spaced and affected by in...
In this paper, we propose a unified loop filter for highperformance video coding, which suppresses the quantization noise optimally and improves the objective and subjective qua...
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
Abstract— The V-BLAST (vertical Bell labs layered spacetime) system is one of the MIMO systems designed to achieve a good multiplexing gain. In the recent literature, a V-BLAST p...
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
— Optimal pilot design and placement for channel estimation in Multiple-input Multiple-output (MIMO) Orthogonal Frequency-Division Multiplexing (OFDM) systems in the presence of ...
—Relay networks have received considerable attention recently, especially when limited size and power resources impose constraints on the number of antennas within a wireless sen...