This book organizes principles and methods of signal processing and machine learning into
the framework of coherence. The book contains a wealth of classical and modern methods …

In this article, we address the problem of ill-conditioning of the Wiener filter, the optimal
linear minimum mean square error estimator. Computing the Wiener filter involves the …

We consider the problem of MIMO channel estimation subject to a given error and delay
constraints. Our objective is to minimize the energy spent during the channel estimation …

This paper presents several approximate formulas for the Wiener filter (WF), the optimal
linear filter minimizing the mean-squared error. Compared to the WF, our formulas do not …

Base Stations (BSs) cooperation techniques, also referred to as Coordinated Multi-Point
(CoMP) in the 3GPP terminology, promise significant performance gains in future 4G and …

This paper covers the consideration of an iterative or turbo receiver where the nonlinear
trellis-based detection of the interleaved and coded data bits is replaced by linear detection …

The emergence of MIMO communications systems as practical high-data-rate wireless
communications systems has created several technical challenges to be met. On the one …

In this paper, we consider the block conjugate gradient (BCG) algorithm as a robust and
reduced-rank implementation of the matrix Wiener filter (MWF). Stop** the BCG iterations …

Detection and estimation problems involve challenging tasks that often demand real-time,
accurate results. Algorithms able to produce highly accurate results are often …

In this paper, a reduced-rank multistage Wiener filter based constant false alarm rate (CFAR)
detector is applied for spectrum sensing in cognitive radio. Spectrum sensing is an essential …