Joint mitigation of nonlinear RF and baseband distortions in wideband direct-conversion receivers
M Grimm, M Allén, J Marttila… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Software-defined radio technology is experiencing more and more attention in modern
communication and radar systems. The main practical challenge in deploying such …
communication and radar systems. The main practical challenge in deploying such …
Adaptive filters
VH Nascimento, MTM Silva - Academic Press Library in Signal Processing, 2014 - Elsevier
This chapter provides an introduction to adaptive signal processing, covering basic
principles through the most important recent developments. After a brief example for, we …
principles through the most important recent developments. After a brief example for, we …
Complementary mean square deviation and stability analyses of the widely linear recursive least squares algorithm
The widely linear recursive least squares (WL-RLS) algorithm is useful for dealing with
noncircular signals. In this paper, we focus on the theoretical prediction and stability of the …
noncircular signals. In this paper, we focus on the theoretical prediction and stability of the …
Adaptive frequency estimation of three-phase power systems
The frequency of a three-phase power system can be estimated by identifying the parameter
of a second-order autoregressive (AR2) linear predictive model for the complex-valued αβ …
of a second-order autoregressive (AR2) linear predictive model for the complex-valued αβ …
Complex dual channel estimation: Cost effective widely linear adaptive filtering
Widely linear estimation for complex-valued data allows for a unified treatment of both
second order circular (proper) and non-circular (improper) signals. We propose the complex …
second order circular (proper) and non-circular (improper) signals. We propose the complex …
A novel reduced-complexity widely linear QLMS algorithm
FGA Neto, VH Nascimento - 2011 IEEE Statistical Signal …, 2011 - ieeexplore.ieee.org
The widely linear quaternion least mean square (WL-QLMS) algorithm is used to capture
complete second order statistics in quaternion valued mean-square estimation (MSE) …
complete second order statistics in quaternion valued mean-square estimation (MSE) …
Widely linear RLS constant modulus algorithm for complex-valued noncircular signals
T Zhang, B Wang, S Liu - Journal of Electronics (China), 2014 - Springer
Based on the constant modulus criterion, a new Widely Linear (WL) blind equalizer and a
novel widely linear recursive least square constant modulus algorithm are proposed to …
novel widely linear recursive least square constant modulus algorithm are proposed to …
An inverse QR widely-linear RLS-based algorithm for SC-FDE systems
S Sitjongsataporn, S Tippaya - 2013 10th International …, 2013 - ieeexplore.ieee.org
In this paper, we present a reduced-complexity widely-linear (RC-WL) inverse square-root
recursive least squares (iQR-RLS) algorithm with the adaptive inverse square-root …
recursive least squares (iQR-RLS) algorithm with the adaptive inverse square-root …
Widely-linear normalised orthogonal gradient adaptive-based algorithm for OFDM systems
S Sitjongsataporn - 2012 9th International Conference on …, 2012 - ieeexplore.ieee.org
In this paper, the modified widely-linear (WL) frequency-domain equalisation based on the
normalised version of orthogonal gradient adaptive (NOGA) algorithm is proposed for …
normalised version of orthogonal gradient adaptive (NOGA) algorithm is proposed for …
Performance enhancement of cognitive radio Wireless Mesh Networks by link scheduling and beamforming
M Siraj, M Shoaib, S Alshebeili - 2013 Saudi International …, 2013 - ieeexplore.ieee.org
Cognitive Radio is an emerging technology that allows an efficient spectrum utilization by
enabling the temporary use of the unused time-frequency resources in a licensed spectrum …
enabling the temporary use of the unused time-frequency resources in a licensed spectrum …