Results 111 to 120 of about 555,264 (327)
A Sparsity Adaptive Algorithm for Wideband Compressive Spectrum Sensing
Traditional spectrum sensing based on compressed sensing assumes that the sparsity is known, in fact,it is unknown and time-varying. To solve the problem, a sparsity adaptive algorithm for wideband spectrum sensing was proposed.
Zhijin Zhao, Junwei Hu
doaj +2 more sources
The combination of battery product and characterization ontology (BPCO) and domain knowledge guides hypotheses development and leads to new insights into material–property relationship of battery materials. The use of “intermediate data” is introduced as a concept, and examples are shown on its use to analyze the agglomeration of carbon black and its ...
Lisa Beran+5 more
wiley +1 more source
A novel subspace pursuit of residual correlation step algorithm for distributed compressed sensing
Mingchi Ju+5 more
semanticscholar +1 more source
Compressive neural representation of sparse, high-dimensional probabilities [PDF]
This paper shows how sparse, high-dimensional probability distributions could be represented by neurons with exponential compression. The representation is a novel application of compressive sensing to sparse probability distributions rather than to the usual sparse signals.
arxiv
Bioinspired Design of Isotropic Lattices with Tunable and Controllable Anisotropy
This study introduces nested isotropic lattices, integrating architectural elements like nesting orders and orientations inspired by bioarchitectures. The design enables tunable anisotropy across nine mono‐nest and twenty multi‐nest lattices with 252 parametric variations, demonstrating transitions from shear‐ to tensile‐compression‐dominant behaviors ...
Ramalingaiah Boda+2 more
wiley +1 more source
Additive manufacturing is a promising route for the production of Ni‐base superalloys for turbine applications, such as Inconel 718. Nonetheless, it induces various changes in the microstructure and performance of these materials. One such change is the incidence of the δ‐Ni3Nb phase, whose impact on microstructure, aging precipitate fractions, and ...
Guilherme Maziero Volpato+8 more
wiley +1 more source
Hybrid materials enable high‐performance components but are challenging to process. This study explores an inductive heating concept with spray cooling for steel–aluminum specimens in a two‐step process including friction welding and cup backward extrusion.
Armin Piwek+7 more
wiley +1 more source
Model-based decentralized Bayesian algorithm for distributed compressed sensing [PDF]
Razieh Torkamani+2 more
semanticscholar +1 more source
A compressive sensing approach for enhancing breast cancer detection using a hybrid DBT / NRI configuration [PDF]
This work presents a novel breast cancer imaging approach that uses compressive sensing in a hybrid Digital Breast Tomosynthesis (DBT) / Nearfield Radar Imaging (NRI) system configuration. The non-homogeneous tissue distribution of the breast, described in terms of dielectric constant and conductivity, is extracted from the DBT image, and it is used by
arxiv
This perspective article explores an innovative powder metallurgical approach to producing high‐nitrogen steels by utilizing a mixture of stainless steel and Si3N4. This mixture undergoes hot isostatic pressing followed by direct quenching. The article also examines adapting this method to laser powder bed fusion (PBF‐LB/M) to overcome nitrogen ...
Louis Becker+5 more
wiley +1 more source