Results 21 to 30 of about 359 (123)

A Note on Block-Sparse Signal Recovery with Coherent Tight Frames

Discrete Dynamics in Nature and Society, 2013
This note discusses the recovery of signals from undersampled data in the situation that such signals are nearly block sparse in terms of an overcomplete and coherent tight frame D. By introducing the notion of block D-restricted isometry property (D-RIP)
Yao Wang, Jianjun Wang, Zongben Xu
doaj   +1 more source

Beam Squint and Committee Machine-Based Channel Estimation Scheme for Wideband THz mMIMO-OFDM Systems

IEEE Access, 2023
Terahertz (THz) communication has been envisioned as a promising technique for the future sixth generation (6G) and beyond wireless networks because of its tens of gigahertz (GHz) bandwidth.
Anthony Ngozichukwuka Uwaechia, Nor Muzlifah Muzlifah Mahyuddin, Francis Chidi Uwaechia   +2 more
doaj   +1 more source

Noise Folding in Completely Perturbed Compressed Sensing

Journal of Applied Mathematics, 2016
This paper first presents a new generally perturbed compressed sensing (CS) model y=(A+E)(x+u)+e, which incorporated a general nonzero perturbation E into sensing matrix A and a noise u into signal x simultaneously based on the standard CS model y=Ax+e ...
Limin Zhou, Xinxin Niu, Jing Yuan
doaj   +1 more source

Pruning-Based Sparse Recovery for Electrocardiogram Reconstruction from Compressed Measurements

Sensors, 2017
Due to the necessity of the low-power implementation of newly-developed electrocardiogram (ECG) sensors, exact ECG data reconstruction from the compressed measurements has received much attention in recent years.
Jaeseok Lee, Kyungsoo Kim, Ji-Woong Choi
doaj   +1 more source

An Online Dictionary Learning-Based Compressive Data Gathering Algorithm in Wireless Sensor Networks

Sensors, 2016
To adapt to sense signals of enormous diversities and dynamics, and to decrease the reconstruction errors caused by ambient noise, a novel online dictionary learning method-based compressive data gathering (ODL-CDG) algorithm is proposed.
Donghao Wang, Jiangwen Wan, Junying Chen, Qiang Zhang   +3 more
doaj   +1 more source

Transtibial Anterior Cruciate Ligament Reconstruction Using a Synthetic Graft Combined With Remnant Repair: A Hybrid Technique

Arthroscopy Techniques, EarlyView.
Abstract The purpose of this technical note is to describe a hybrid arthroscopic technique that combines anterior cruciate ligament reconstruction using a synthetic graft with concomitant remnant repair. Following diagnostic arthroscopy and assessment of remnant quality, tibial and femoral tunnels are created using a transtibial approach with attention
Peng Wang, Yirui Han, Weibo Yin, Yufei Zhang, Weiliang Zhong   +4 more
wiley   +1 more source

Rehabilitation and return to activity after platelet‐rich plasma injections in chronic tendinopathies: Consensus from international experts

PM&R, EarlyView.
Abstract Background The effectiveness of platelet‐rich plasma (PRP) injections in chronic tendinopathies remains debated. Although the product's characteristics play a role, the impact of postinjection recommendations remains poorly investigated. Objective To establish principles and guidelines for post‐PRP injection rehabilitation and return to ...
Vincent Gremeaux, Martin Lamontagne, Valérie Bélanger, Etienne Dalmais, Eric Noël, Alain Frey, Paul Ornetti, Fadoua Allali, Jimmy Gross, F. Michel, Hervé Bard, Jean‐François Kaux, the GRIIP (Groupe de Recherche International sur les Injections de Plaquettes; International Research Group on Platelet Injections)   +12 more
wiley   +1 more source

Sub-Nyquist sampling for short pulses with Gabor frames

EURASIP Journal on Wireless Communications and Networking, 2017
For analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions, an efficient sub-Nyquist sampling systems is based on Gabor frames.
Cheng Wang, Ying Wang, Peng Chen, Chen Meng, Xiangjun Song, Wanling Li   +5 more
doaj   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

On Metric Choice in Dimension Reduction for Fréchet Regression

International Statistical Review, EarlyView.
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale, Congli Ma, Siyu Chen, Obed Koomson   +3 more
wiley   +1 more source