This paper presents an overview of progress in the area of multiple input multiple output
(MIMO) space-time coded wireless systems. After some background on the research leading …

In this paper, we present a partial survey of the tools borrowed from tensor algebra, which
have been utilized recently in Statistics and Signal Processing. It is shown why the …

Tensors or multiway arrays are functions of three or more indices (i, j, k,...)-similar to matrices
(two-way arrays), which are functions of two indices (r, c) for (row, column). Tensors have a …

The widespread use of multisensor technology and the emergence of big data sets have
highlighted the limitations of standard flat-view matrix models and the necessity to move …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

In multiple-input multiple-output (MIMO) systems, the use of many radio frequency (RF) and
analog-to-digital converter (ADC) chains at the receiver is costly. Analog beamformers …

We consider the channel estimation problem in multiple-input multiple-output orthogonal
frequency division multiplexing (MIMO-OFDM) systems assisted by intelligent reconfigurable …

This paper links the direct-sequence code-division multiple access (DS-CDMA) multiuser
separation-equalization-detection problem to the parallel factor (PARAFAC) model, which is …

Space-time processing can improve network capacity, coverage, and quality by reducing co-
channel interference (CCI) while enhancing diversity and array gain. This article focuses …

This paper presents novel algorithms that iteratively converge to a local minimum of a real-
valued function f (X) subject to the constraint that the columns of the complex-valued matrix …