Results 61 to 70 of about 1,259,174 (207)
ABSTRACT Purpose To quantitatively assess the bias in the intravoxel incoherent motions (IVIM)–derived pseudo‐diffusion volume fraction (f) caused by the differences in relaxation times between the tissue and fluid compartments, and to develop a two‐dimensional (b‐value‐TE) fitting approach for simultaneous T2 and IVIM parameter estimation along with ...
Julia Stabinska +4 more
wiley +1 more source
Serial Acquisition of DS-CDMA Signals in Multipath Fading Mobile Channels
This paper compares the mean acquisition time (MAT) performance of two serial search acquisition schemes over frequency-selective multipath Rayleigh fading channels.
Yang, L-L., Hanzo, L.
core +1 more source
Our hierarchical Bayesian modelling (HBM) technique is demonstrated in two neuroimaging diffusion MRI models. When compared with least‐squares (LSQ) minimisation, HBM increased the accuracy, precision, contrast‐to‐noise ratio and parameter map quality in simulated and human data. HBM also resolved local parameter variations associated with white matter
Elizabeth Powell +5 more
wiley +1 more source
Channel Estimation for Stacked Intelligent Metasurfaces in Rician Fading Channels
accepted in IEEE ...
Anastasios K. Papazafeiropoulos +3 more
openaire +3 more sources
Exact BER of Rectangular-Constellation QAM Subjected to Asynchronous Co-Channel Interference and Nakagami-m Fading [PDF]
The exact average bit error ratio (BER) of the rectangular quadrature amplitude modulation (QAM) constellation is studied in the context of asynchronous co-channel interference (CCI) and Nakagami-m fading.
Liu, X. +3 more
core +1 more source
Non‐negative matrix factorization (NMF) can derive tissue features in a data‐driven manner without relying on biophysical model assumptions. First‐time application of NMF to 3D multi‐echo UTE knee MRI revealed four reproducible components associated with tissues of fast and slow transverse relaxation, water–fat mixture (chemical shift), and fat tissue.
Céline Smekens +5 more
wiley +1 more source
Hybrid deep learning for robust spectrum sensing over AWGN and fading channels
Accurate and reliable spectrum sensing (SS) is crucial for optimal spectrum usage in cognitive radio (CR) networks under challenging low signal-to-noise ratio (SNR) and fading channel conditions. The Bi-CLNetwork, a hybrid deep learning (DL) architecture,
Sarah Yahya Salih Al-Hajm +2 more
doaj +1 more source
Capture Effect in the FSA-Based Networks under Rayleigh, Rician and Nakagami-m Fading Channels
Framed slotted aloha (FSA) is a multiple access protocol widely used in wireless communication for its simplicity and effectivity. The theoretical maximum channel utilization of FSA is approximately equal to 0.37 irrespective of the capture effect.
Yang Wang, Jianghong Shi, Lingyu Chen
doaj +1 more source
ABSTRACT Background Pathophysiological changes affect tissue cell composition and density. For example, neurodegenerative disorders and brain tumors are associated with cell loss and abnormal accumulation, respectively. In these scenarios, if monitored and tracked, tissue cellularity might be used to inform clinical diagnosis and management. Purpose To
Giulia Debiasi +7 more
wiley +1 more source

