Results 81 to 90 of about 277,175 (273)

A Simple Gaussian Measurement Bound for Exact Recovery of Block-Sparse Signals

Discrete Dynamics in Nature and Society, 2014
We present a probabilistic analysis on conditions of the exact recovery of block-sparse signals whose nonzero elements appear in fixed blocks. We mainly derive a simple lower bound on the necessary number of Gaussian measurements for exact recovery of ...
Zhi Han, Jianjun Wang, Jia Jing, Hai Zhang   +3 more
doaj   +1 more source

Exact sparse recovery with L0 projections [PDF]

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
Many applications concern sparse signals, for example, detecting anomalies from the differences between consecutive images taken by surveillance cameras. This paper focuses on the problem of recovering a K-sparse signal x in N dimensions. In the mainstream framework of compressed sensing (CS), the vector x is recovered from M non-adaptive linear ...
Li, Ping, Zhang, Cun-Hui
openaire   +2 more sources

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Adaptive Sensing for Sparse Signal Recovery [PDF]

2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop, 2009
The theory of compressed sensing shows that sparse signals in high-dimensional spaces can be recovered from a relatively small number of samples in the form of random projections. However, in severely resource-constrained settings even CS techniques may fail, and thus, a less aggressive goal of partial signal recovery is reasonable.
Haupt, J., Nowak, R., Castro, R.M.
openaire   +1 more source

Imaging of Biphoton States: Fundamentals and Applications

Advanced Functional Materials, EarlyView.
Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
wiley   +1 more source

Space alternating variational estimation based sparse Bayesian learning for complex‐value sparse signal recovery using adaptive Laplace priors

IET Signal Processing, 2023
Due to its self‐regularising nature and its ability to quantify uncertainty, the Bayesian approach has achieved excellent recovery performance across a wide range of sparse signal recovery applications.
Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen   +3 more
doaj   +1 more source

Mapping Nanoscale Buckling in Atomically Thin Cr2Ge2Te6

Advanced Functional Materials, EarlyView.
Atomic‐resolution STEM is used to resolve nanoscale buckling in monolayer Cr2Ge2Te₆. A noise‐robust image analysis reconstructs three‐dimensional lattice distortions from single plan‐view images, revealing pronounced defect‐driven nm‐scale out‐of‐plane buckling.
Amy Carl, Nicholas Clark, David G. Hopkinson, Matthew Hamer, Matthew Watson, Laxman Nagireddy, James E. Nunn, Alexei Barinov, Yichao Zou, William Thornley, Casey Cheung, Wendong Wang, Sam Sullivan‐Allsop, Xiao Li, Astrid Weston, Eli G. Castanon, Andrey V Kretinin, Cephise Cacho, Neil R. Wilson, Sarah J. Haigh, Roman Gorbachev   +20 more
wiley   +1 more source

A Unified Feasible SQP Framework for sparse and non-negative sparse recovery

EURASIP Journal on Advances in Signal Processing
Sparse signal recovery is a central problem in many areas, including medical imaging, remote sensing, machine learning, and data science. In many practical settings, the underlying signal is inherently non-negative, due to the physical nature of the ...
Mohammad Saeid Alamdari, Masoud Fatemi
doaj   +1 more source

Dual‐Layer Living Hydrogel Enables On‐Demand Delivery of Phages and Probiotics for Synergistic Wound Infection Therapy

Advanced Functional Materials, EarlyView.
A dual‐layer living hydrogel, ProΦGel, integrates bacteriophages and probiotics for synergistic wound infection therapy. The outer gelatin‐based matrix releases phages on demand in response to P. aeruginosa infections, while inner alginate beads sustain probiotic delivery.
Siyuan Tao, Darine D'Adam, Anna Hu, Sixuan Zhang, Josua Roduner, Katharina Maniura‐Weber, Qun Ren   +6 more
wiley   +1 more source

Tissue Engineered Human Elastic Cartilage From Primary Auricular Chondrocytes for Ear Reconstruction

Advanced Functional Materials, EarlyView.
Despite over three decades of research, no tissue‐engineered solution for auricular reconstruction in microtia patients has reached clinical translation. The key challenge lies in generating functional elastic cartilage ex vivo. Here, we integrate synergistic cell‐biomaterial strategies to engineer auricular grafts with mechanical and histological ...
Philipp Fisch, Sandra Kessler, Simone Ponta, Anna Puiggalí‐Jou, Guoliang Lyu, Killian Flégeau, Anastasiya Martyts, Florian Roth, David Fercher, Filippo M. Rijli, Daniel Simmen, Eva Novoa Olivares, Thomas Linder, Marcy Zenobi‐Wong   +13 more
wiley   +1 more source