Results 61 to 70 of about 3,086,556 (345)

Application of compressed sensing to the simulation of atomic systems

, 2012
Compressed sensing is a method that allows a significant reduction in the number of samples required for accurate measurements in many applications in experimental sciences and engineering.
A. Aspuru-Guzik, Alonso, Andrade, Andrade, Ceotto, J. N. Sanders, Lee, Lustig, Mancal, Perdew, Shabani, Stern, Takimoto, Varsano, X. Andrade, Yuen-Zhou, Zhu   +16 more
core   +1 more source

Multi Terminal Probabilistic Compressed Sensing [PDF]

, 2014
In this paper, the `Approximate Message Passing' (AMP) algorithm, initially developed for compressed sensing of signals under i.i.d. Gaussian measurement matrices, has been extended to a multi-terminal setting (MAMP algorithm).
Haghighatshoar, Saeid
core   +2 more sources

Evolution of compressed sensing theory and dynamic electric energy measurement method

Diance yu yibiao
This paper expounds the evolution process of compressed sensing signal sparse model, measurement matrix construction, reconstruction algorithm design, compressed measurement and compressed sensing hardware signal processing system, and puts forward that ...
WU Wenqian, WANG Xuewei
doaj   +1 more source

Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction [PDF]

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2018
Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE) loss functions can achieve high peak signal to noise ratio, the ...
Maximilian Seitzer, Guang Yang, Jo Schlemper, O. Oktay, Tobias Würfl, Vincent Christlein, T. Wong, R. Mohiaddin, D. Firmin, J. Keegan, D. Rueckert, A. Maier   +11 more
semanticscholar   +1 more source

Beyond Inflammation: Why Understanding the Brain Matters in Inflammatory Arthritis

Arthritis Care &Research, EarlyView.
Persistent pain remains a major challenge in inflammatory arthritis, even when joint inflammation is well controlled. Pain and associated symptoms such as fatigue cannot be explained by peripheral inflammation alone but reflect altered central pain processing. These changes may arise through “top‐down” mechanisms, reflecting pre‐existing dysfunction in
Eoin M. Kelleher, Rosario Meouchi, Anushka Irani   +2 more
wiley   +1 more source

Recursive Compressed Sensing [PDF]

, 2013
We introduce a recursive algorithm for performing compressed sensing on streaming data. The approach consists of a) recursive encoding, where we sample the input stream via overlapping windowing and make use of the previous measurement in obtaining the ...
Freris, Nikolaos M., Vetterli, Martin, Öçal, Orhan   +2 more
core   +1 more source

High-resolution Wide-swath SAR Moving Target Imaging Technology Based on Distributed Compressed Sensing

Leida xuebao, 2020
High-resolution wide-swath SAR moving target imaging is of great significance for target tracking. To achieve target tracking, conversional space-based multichannel SAR technology requires a large number of channels.
PAN Jie, WANG Shuai, LI Daojing, LU Xiaochun   +3 more
doaj   +1 more source

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, In collaboration with the Consensus Expert Panel (CEP) members   +19 more
wiley   +1 more source

Hamming Compressed Sensing [PDF]

, 2011
Compressed sensing (CS) and 1-bit CS cannot directly recover quantized signals and require time consuming recovery. In this paper, we introduce \textit{Hamming compressed sensing} (HCS) that directly recovers a k-bit quantized signal of dimensional $n ...
Tao, Dacheng, Zhou, Tianyi
core  

Randomness and isometries in echo state networks and compressed sensing

, 2018
Although largely different concepts, echo state networks and compressed sensing models both rely on collections of random weights; as the reservoir dynamics for echo state networks, and the sensing coefficients in compressed sensing.
Prater-Bennette, Ashley
core   +1 more source