Results 121 to 130 of about 121,710 (296)
MMSE-based random sampling for iterative detection for large-scale MIMO systems
MMSE-based random sampling for iterative detection for large-scale MIMO ...
Lin Bai (338207), Jinho Choi (13076106)
core
Abstract Background Freezing of gait (FoG) belongs to most pressing unmet symptoms in the treatment of Parkinson's disease. Objectives To explore whether combined subthalamic and nigral (STN + SNr) deep brain stimulation improves FoG compared with optimized STN stimulation alone; to identify clinical variables associated with therapeutic response ...
Daniel Weiss +29 more
wiley +1 more source
Generalised MBER-based vector precoding design for multiuser transmission
We propose a generalized vector precoding (VP) design based on the minimum bit error rate (MBER) criterion for multiuser transmission in the downlink of a multiuser system, where the base station (BS) equipped with multiple transmitting antennas ...
Chen, Sheng, Hanzo, Lajos, Yao, Wang
core +1 more source
Abstract Background Plasma phosphorylated‐tau at threonine‐217 (p‐tau217) and threonine‐181 (p‐tau181) are scalable, minimally invasive biomarkers of Alzheimer's disease (AD) pathology. In Parkinson's disease (PD), AD co‐pathology may contribute to its clinical heterogeneity.
Eleonora Fiorenzato +16 more
wiley +1 more source
Interference-Resistant Lptv-Mmse Equalization
Publication in the conference proceedings of EUSIPCO, Tampere, Finland ...
GELLI, GIACINTO, VERDE, FRANCESCO
openaire +4 more sources
Timing of Deep Brain Stimulation and Cognitive Trajectories in GBA1‐Associated Parkinson's Disease
Abstract Background Individuals with Parkinson's disease (PD) carrying GBA1 variants often develop advanced motor complications that prompt evaluation for deep brain stimulation (DBS). However, concerns about accelerated cognitive decline after DBS in GBA1 carriers complicate clinical decision making.
Evridiki Asimakidou +61 more
wiley +1 more source
Abstract Background and Objectives Huntington's disease (HD) evolves silently for years before motor onset, yet the systemic metabolic alterations accompanying cumulative exposure to mutant huntingtin and disease progression remain poorly understood.
Mohamed Bendimerad +11 more
wiley +1 more source
Automatic regularization for linear MMSE filters
In this work, we consider the problem of regularization in the design of minimum mean square error (MMSE) linear filters. Using the relationship with statistical machine learning methods, using a Bayesian approach, the regularization parameter is found from the observed signals in a simple and automatic manner.
Daniel Gomes de Pinho Zanco +2 more
openaire +3 more sources
Determinants of Cueing Responsiveness in Parkinson's Disease: Insights from the UNITE‐PD Study
Abstract Background Cueing strategies are widely used to improve gait in Parkinson's disease (PD), but interindividual variability in cueing responsiveness remains poorly understood. Objectives The objective of the study was to identify determinants of internal and external cueing efficacy in persons with PD.
Cindel Albers +16 more
wiley +1 more source
Iterative multi-user detection for OFDM using biased mutation assisted genetic algorithms
Space Division Multiple Access (SDMA) aided Orthogonal Frequency Division Multiplexing (OFDM) systems assisted by efficient Multi-User Detection (MUD) techniques have recently attracted intensive research interests.
Jiang, M., Hanzo, L.
core +1 more source

