Results 61 to 70 of about 798,977 (204)

Secrecy Capacity of Artificial Noise Aided Secure Communication in MIMO Rician Channels

IEEE Access, 2018
Recent research on the physical layer security of wireless systems focuses on artificial noise (AN) aided security. The main metric for analysis of such systems is the secrecy capacity of the system. Most of the AN schemes proposed in recent research are
Mansoor Ahmed, Lin Bai
doaj   +1 more source

Quantification of the Tissue Sodium Concentration in the Human Calf at 7T With Reduced Acquisition Time: Influence of the Nominal Spatial Resolution

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
Fast 23Na MRI of the human calf at 7T was achieved by reducing nominal spatial resolution. Shorter measurement times can improve clinical feasibility of 23Na MRI while preserving reliable quantification of apparent tissue sodium concentration through partial volume, relaxation, and B0/B1 corrections.
Jordan M. Höhn, Tobias Wilferth, Lena V. Gast, Teresa Gerhalter, Christoph Kopp, Michael Uder, Armin M. Nagel   +6 more
wiley   +1 more source

Performance analysis of energy detection over hyper-Rayleigh fading channels

The Journal of Engineering, 2015
This study investigates the performance of energy detection (ED)-based spectrum sensing over two-wave with diffused power (TWDP) fading channels, which have been found to provide accurate characterisation for a variety of fading conditions. A closed-form
Eleftherios Chatziantoniou, Ben Allen, Vladan Velisavljevic   +2 more
doaj   +1 more source

A Multiscale Spatiotemporal Causal Mapping Algorithm for Revealing Neural Network Mechanisms of Transcutaneous Auricular Vagus Nerve Stimulation

Human Brain Mapping, Volume 47, Issue 11, 01 August 2026.
In this study, we propose a multiscale spatiotemporal causal mapping (MSTCM) algorithm integrating multiscale functional connectivity and delay‐aware causal inference. Applied to resting‐state fMRI data, MSTCM reveals that taVNS reorganizes large‐scale brain networks by enhancing global integration efficiency while shifting information processing from ...
Weiyi Wang, Ruimin Wang, Pan Lin, Yue Leng, Tianqi Huang, Sheng Ge   +5 more
wiley   +1 more source

Iterative Decoding of Serial Concatenated Convolutionally Encoded Signals over Frequency Selective Fading Channels

Journal of Engineering and Sustainable Development, 2007
Serial concatenated convolutional coding with iterative decoding is examined for data transmission employing BFSK (binary frequency shift keying) modulation and non-coherent detection receiver.
Maha George Zia
doaj  

Accurate estimation of intravoxel incoherent motion parameters based on implicit neural representation

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract BackgroundIntravoxel incoherent motion (IVIM) diffusion‐weighted imaging has important value in treatment response monitoring. However, traditional voxel‐wise independent fitting methods are highly sensitive to noise and do not utilize spatial correlation, resulting in unstable parameter estimation. Although existing deep learning methods have
Yunxiang Li, Yen‐Peng Liao, Yan Dai, Jie Deng, You Zhang   +4 more
wiley   +1 more source

General capacity bounds for spatially correlated Rician MIMO channels

, 2005
This paper considers the capacity of spatially correlated Rician multiple-input multiple-output (MIMO) channels. We consider the general case with double-sided correlation and arbitrary rank channel means.
Collings, Iain B., McKay, Matthew R.
core   +1 more source

PERFORMANCE OF TURBO CODED SIGNALS OVER FADING CHANNELS

Electrica, 2019
In this paper, the performance of turbo coded signals are investigated for different frame numbers and encoder structures over Rician fading channels. The numerical results demonstrate the error performance degradation due to fading channel frame numbers
Oguz BAYAT, Hissam ALNAJJAR, Osman N. UCAN, Onur OSMAN   +3 more
doaj   +2 more sources

Real‐Time, Inline Quantitative MRI Enabled by Scanner‐Integrated Machine Learning: A Proof of Principle With NODDI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 986-995, August 2026.
ABSTRACT Purpose The clinical feasibility and translation of many advanced quantitative MRI (qMRI) techniques are inhibited by their restriction to ‘research mode’, due to resource‐intensive, offline parameter estimation. This work aimed to achieve ‘clinical mode’ qMRI, by real‐time, inline parameter estimation with a trained neural network (NN) fully ...
Samuel Rot, Iulius Dragonu, Christina Triantafyllou, Matthew Grech‐Sollars, Anastasia Papadaki, Laura Mancini, Stephen Wastling, Jennifer Steeden, John S. Thornton, Tarek Yousry, Claudia A. M. Gandini Wheeler‐Kingshott, David L. Thomas, Daniel C. Alexander, Hui Zhang   +13 more
wiley   +1 more source

Channel Estimation for Stacked Intelligent Metasurfaces in Rician Fading Channels

IEEE Wireless Communications Letters
accepted in IEEE ...
Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Dimitra I. Kaklamani, Iakovos S. Venieris   +3 more
openaire   +3 more sources