Results 41 to 50 of about 7,796 (295)
Distributed Video Adaptive Block Compressive Sensing
Video block compressive sensing has been studied for use in resource constrained scenarios, such as wireless sensor networks, but the approach still suffers from low performance and long reconstruction time. Inspired by classical distributed video coding, we design a lightweight encoder with computationally intensive operations, such as video frame ...
Zammit, Joseph, Wassell, Ian J
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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 +19 more
wiley +1 more source
Compressed Sensing (CS) is a Machine Learning (ML) method, which can be regarded as a single-layer unsupervised learning method. It mainly emphasizes the sparsity of the model.
Han Wang +5 more
doaj +1 more source
This study explores the mechanical performance of three auxetic structures, identifying a re‐entrant‐star hybrid as the most effective for impact absorption. Finite element simulations and experiments demonstrate significant gains in energy absorption and flexural strength after geometric optimization. This study investigates the mechanical performance
Malik Hassan +4 more
wiley +1 more source
Distributed compressive sensing: Performance analysis with diverse signal ensembles [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Sung-Hsien Hsieh +3 more
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Distributed and Cooperative Compressive Sensing Recovery Algorithm for Wireless Sensor Networks with Bi-directional Incremental Topology [PDF]
Ghanbar Azarnia +2 more
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Dynamic Precipitation during High‐Pressure Torsion of a Magnesium–Manganese Alloy
An ultrafine‐grained alloy is produced by high‐pressure torsion of solutionized Mg–1.35 wt% Mn. Precipitation of nanometer‐scale Mn particles during deformation provides pinning sites. This prevents the formation of a bimodal grain structure and results in a finer grain size than for pure Mg.
Julian M. Rosalie, Anton Hohenwarter
wiley +1 more source
Distributed compressed sensing for sensor networks using thresholding [PDF]
Distributed compressed sensing is the extension of compressed sampling (CS) to sensor networks. The idea is to design a CS joint decoding scheme at the base station which exploits the inter-sensor correlations, in order to recover the whole observations from very few number of random measurements per node.
Golbabaee, Mohammad +1 more
openaire +2 more sources
An Improved Distributed Multi-User Cooperative Spectrum Sensing Method Based on DCS
Distributed compressed sensing theory extends the application of compressed sensing theory, which brings single signal compression sampling to signal group compression sampling.
Jianwu Zhang, Xiaoyan Chen, Xiaorong Xu
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A Noise Reduction Method for Multiple Signals Combining Computed Order Tracking Based on Chirplet Path Pursuit and Distributed Compressed Sensing [PDF]
Guangfei Jia +4 more
openalex +1 more source

