Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems
Multidimensional harmonic retrieval problems are encountered in a variety of signal
processing applications including radar, sonar, communications, medical imaging, and the …
processing applications including radar, sonar, communications, medical imaging, and the …
Analytical performance assessment of multi-dimensional matrix-and tensor-based ESPRIT-type algorithms
In this paper we present a generic framework for the asymptotic performance analysis of
subspace-based parameter estimation schemes. It is based on earlier results on an explicit …
subspace-based parameter estimation schemes. It is based on earlier results on an explicit …
Subspace methods and exploitation of special array structures
In this chapter we provide an overview of subspace-based parameter estimation schemes
for uniform arrays, non-uniform arrays, and other specific array structures. The popularity of …
for uniform arrays, non-uniform arrays, and other specific array structures. The popularity of …
A semi-algebraic framework for approximate CP decompositions via simultaneous matrix diagonalizations (SECSI)
In this paper, we propose a framework to compute approximate CANDECOMP/PARAFAC
(CP) decompositions. Such tensor decompositions are viable tools in a broad range of …
(CP) decompositions. Such tensor decompositions are viable tools in a broad range of …
R-dimensional ESPRIT-type algorithms for strictly second-order non-circular sources and their performance analysis
High-resolution parameter estimation algorithms designed to exploit the prior knowledge
about incident signals from strictly second-order (SO) noncircular (NC) sources allow for a …
about incident signals from strictly second-order (SO) noncircular (NC) sources allow for a …
Estimating multivariate latent-structure models
Estimating multivariate latent-structure models Page 1 The Annals of Statistics 2016, Vol. 44,
No. 2, 540–563 DOI: 10.1214/15-AOS1376 © Institute of Mathematical Statistics, 2016 …
No. 2, 540–563 DOI: 10.1214/15-AOS1376 © Institute of Mathematical Statistics, 2016 …
Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing
Spatial smoothing is a widely used preprocessing scheme to improve the performance of
high-resolution parameter estimation algorithms in case of coherent signals or if only a small …
high-resolution parameter estimation algorithms in case of coherent signals or if only a small …
Semi-blind receivers for joint symbol and channel estimation in space-time-frequency MIMO-OFDM systems
In wireless communications, increased spectral efficiency and low error rates can be
achieved by means of space-time-frequency coded MIMO-OFDM systems. In this work, we …
achieved by means of space-time-frequency coded MIMO-OFDM systems. In this work, we …
Extrapolation of MIMO mobile-to-mobile wireless channels using parametric-model-based prediction
RO Adeogun, PD Teal… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This paper investigates the prediction of multiple-input-multiple-output (MIMO) narrow-band
multipath fading channels for mobile-to-mobile (M-to-M) wireless communication systems …
multipath fading channels for mobile-to-mobile (M-to-M) wireless communication systems …
Canonical polyadic decomposition based on joint eigenvalue decomposition
X Luciani, L Albera - Chemometrics and Intelligent Laboratory Systems, 2014 - Elsevier
A direct algorithm based on Joint EigenValue Decomposition (JEVD) has been proposed to
compute the Canonical Polyadic Decomposition (CPD) of multi-way arrays (tensors). The …
compute the Canonical Polyadic Decomposition (CPD) of multi-way arrays (tensors). The …