Results 111 to 120 of about 247 (176)

Design of Sparse FIR Decision Feedback Equalizers in MIMO Systems Using Hybrid l₁/l₂ Norm Minimization and the OMP Algorithm. [PDF]

Sensors (Basel), 2018
Yu L, Zhao J, Xu W, Liu H.
europepmc   +1 more source

Accurate Performance Analysis of Coded Large-Scale Multiuser MIMO Systems with MMSE Receivers. [PDF]

Sensors (Basel), 2019
Zhai K, Ma Z, Lei X.
europepmc   +1 more source

Adaptive Damping Log-Domain Message-Passing Algorithm for FTN-OTFS in V2X Communications. [PDF]

Sensors (Basel)
Xu H, Zhang C, Wu Q, Ng BK, Lam CT.
europepmc   +1 more source

Implementation of the deep learning method for signal detection in massive-MIMO-NOMA systems. [PDF]

Heliyon
Kumar A, Gaur N, Gupta M, Nanthaamornphong A.   +3 more
europepmc   +1 more source

Reduction Method for a Network-on-Chip Low-Level Modeling. [PDF]

Micromachines (Basel)
Lezhnev EV, Romanov AY, Telpukhov DV, Solovyev RA, Romashikhin MY.   +4 more
europepmc   +1 more source

Reaction time variations in normal aging and elderly MCI patients under various cognitive load conditions. [PDF]

Front Hum Neurosci
Zhu Y, Chen Z, Shi Z, Chen J, Zuo Q, Yang Z, Zhang W, Li W, Lu S, Peng S, Gou L.   +10 more
europepmc   +1 more source

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Blind MMSE Equalizer for Nonlinear SIMO Systems

2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), 2021
This work presents a novel minimum mean squared error (MMSE) equalizer for blind signal estimation of a nonlinear single input multiple outputs (SIMO) system. The zero and $\tau$ delay MMSE equalizer parameters are blindly estimated using the property that they belong to both the signal subspace and the kernel of a properly truncated data covariance ...
Qadri Mayyala, Azzedine Zerguine, Karim Abed-Meraim   +2 more
exaly   +3 more sources

Implementation of the Levinson algorithm for MMSE equalizer

2008 International SoC Design Conference, 2008
In wireless communication system applying the minimum mean square error (MMSE) as its equalization algorithm, the equalizer is one of the most critical part in terms of the computational complexity of the baseband signal processing. Hence more efficient algorithm implementing MMSE equalizer is needed to save power consumption and reduce the hardware ...
Jinyong Lee
exaly   +2 more sources

A Common Phase Error Estimation Scheme with MMSE Equalizer

2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023
Junhwan Lee, Juho Park, Moon-Sik Lee
exaly   +2 more sources

MMSE cyclic equalization

IEEE Military Communications Conference. Proceedings. MILCOM 98 (Cat. No.98CH36201), 2002
In digital communications, conventional linear and decision feedback equalizers are optimal for stationary signals. However, modulated signals are polycyclostationary (PCS): their correlation functions are time-polyperiodic. Cyclic equalization structures optimized by the MMSE (minimum mean square error) criterion are proposed.
G. Latouche, D. Pirez, P. Vila
openaire   +1 more source