Results 241 to 250 of about 10,846,082 (297)

Data‐Driven SuStaIn Model of Disability Progression in Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether ordinal Subtype and Stage Inference (SuStaIn) applied to routine ALSFRS‐R item scores can identify reproducible disability progression patterns in amyotrophic lateral sclerosis (ALS) and provide clinically meaningful staging.
Giammarco Milella, Veria Vacchiano, Vittorio Velucci, Stefano Zoccolella, Rocco Liguori, Giovanni Defazio   +5 more
wiley   +1 more source

Diffuse MRI Edema Predicts Relapse in Cerebral Amyloid Angiopathy–Related Inflammation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To identify MRI predictors of relapse and quantify relapse and mortality risk in cerebral amyloid angiopathy–related inflammation (CAA‐RI). A secondary objective was to assess the association between mycophenolate mofetil use and relapse risk. Methods We performed a retrospective cohort study of 36 patients with CAA‐RI treated at the
G. Abbas Kharal, Gowtham Yerneni, Kim J. Griffin, Nicolas Thompson, Ken Uchino, Irene Katzan, Dolora Wisco, Abeer Farrag, Jayashree Sundarajan, Andrew Russman, M. Shazam Hussain   +10 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery

IEEE Transactions on Neural Networks and Learning Systems, 2023
Wireless sensor network (WSN) is an emerging and promising developing area in the intelligent sensing field. Due to various factors like sudden sensors breakdown or saving energy by deliberately shutting down partial nodes, there are always massive ...
Di Wu, Ze-Chao Li, Zhi-Kai Yu, Yi He, Xin Luo   +4 more
semanticscholar   +1 more source

Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise

IEEE Transactions on Signal Processing, 2023
This paper presents a novel framework for sparse robust signal recovery integrating the sparse recovery using the minimax concave (MC) penalty and robust regression called sparse outlier-robust regression (SORR) using the MC loss.
Kyohei Suzuki, M. Yukawa
semanticscholar   +1 more source

Fast Variational Bayesian Inference for Temporally Correlated Sparse Signal Recovery

IEEE Signal Processing Letters, 2021
The performance of sparse signal recovery (SSR) can be enhanced by exploiting rich temporal correlation in the multiple snapshots of signal of interest.
Zheng Cao, Ji-Sheng Dai, Wei-Chao Xu, Chun-Qi Chang   +3 more
semanticscholar   +1 more source

Quaternion block sparse representation for signal recovery and classification

Signal Processing, 2021
This paper presents a quaternion block sparse representation (QBSR) method for structural sparse signal recovery in quaternion space. Due to the noncommutativity of quaternion multiplication, conventional optimization algorithms originally designed for ...
Cuiming Zou, K. Kou, Yu-Long Wang, Yuan-Yan Tang   +3 more
semanticscholar   +1 more source

High-precision bearing signal recovery based on signal fusion and variable stepsize forward-backward pursuit

, 2021
In multi-sensor, long-distance fault monitoring of rolling bearings, the bearing signals are compressively sampled, transmitted, and reconstructed according to the theory of compressive sensing.
Zuo-Zhou Pan, Zong Meng, Ying Zhang, Guang-zhu Zhang, Xuewen Pang   +4 more
semanticscholar   +1 more source

Deep Unfolding Network for Block-Sparse Signal Recovery

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021
Block-sparse signal recovery has drawn increasing attention in many areas of signal processing, where the goal is to recover a high-dimensional signal whose non-zero coefficients only arise in a few blocks from compressive measurements. However, most off-
Rong Fu, Vincent Monardo, Tian-Yao Huang, Yi-Min Liu   +3 more
semanticscholar   +1 more source

Timing recovery for UWB signals

IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., 2005
The paper is concerned with timing recovery for ultra-wideband communications operating in a dense multipath environment. A timing algorithm is proposed that exploits the samples of the received signal to estimate the start of the individual frames with respect to a local reference (frame timing) and the location of the first frame in each symbol ...
CARBONELLI C., MENGALI, UMBERTO
openaire   +2 more sources

Resolution analysis in signal recovery

1995 International Conference on Acoustics, Speech, and Signal Processing, 2002
Resolution analysis for the problem of signal recovery from finitely many linear samples is the subject of the paper. The classical Rayleigh limit serves only as a lower bound on resolution since it does not assume any recovery strategy and is based only on observed data.
Satya Dharanipragada, K. S. Arun
openaire   +2 more sources