Results 91 to 100 of about 487,780 (314)
Distributed Compressed Estimation for Wireless Sensor Networks Based on Compressive Sensing [PDF]
arXiv, 2015 This letter proposes a novel distributed compressed estimation scheme for sparse signals and systems based on compressive sensing techniques. The proposed scheme consists of compression and decompression modules inspired by compressive sensing to perform distributed compressed estimation.
arxiv
A Learning Framework for Bandwidth-Efficient Distributed Inference in Wireless IoT [PDF]
arXiv, 2022 In wireless Internet of things (IoT), the sensors usually have limited bandwidth and power resources. Therefore, in a distributed setup, each sensor should compress and quantize the sensed observations before transmitting them to a fusion center (FC) where a global decision is inferred. Most of the existing compression techniques and entropy quantizers
arxiv
Advanced Engineering Materials, EarlyView.Additive manufacturing of magnesium alloys by laser is difficult because the melting point of the oxide layer is much higher than the evaporation temperature of the metal underneath. Making the oxide layer thinner can solve this problem. Alloying magnesium with strontium makes the oxide layer thinner, especially at 0.5 wt%.
Elmar Jonas Breitbach +8 more
wiley +1 more source
A Distributed Compressed Sensing-based Algorithm for the Joint Recovery of Signal Ensemble [PDF]
Radioengineering, 2018 This paper considers sparsity-aware adaptive compressed sensing acquisition and the joint reconstruction of intra- and inter-correlated signals in the wireless sensor networks via distributed compressed sensing.
J. A. Jahanshahi +2 more
doaj
Harmonic analysis in distributed power system based on IoT and dynamic compressed sensing
Energy Reports, 2022 Massive distributed clean energy takes power electronic equipment as the grid access connector, which brings serious harmonic pollutions. To monitor the power quality in the massive distributed power systems, this paper proposes a real-time harmonic ...
Yuqing Niu +5 more
doaj
Efficient and Robust Distributed Digital Codec Framework for Jointly Sparse Correlated Signals
IEEE Access, 2019 In this paper, we propose a novel distributed digital transmission framework for two jointly sparse correlated signals. First, the non-zero coefficients of each signal are quantized by a standard quantizer or a novel distributed quantizer, as appropriate.
Xuechen Chen, Fan Li, Xingcheng Liu
doaj +1 more source
Sparse Diffusion Steepest-Descent for One Bit Compressed Sensing in Wireless Sensor Networks [PDF]
arXiv, 2016 This letter proposes a sparse diffusion steepest-descent algorithm for one bit compressed sensing in wireless sensor networks. The approach exploits the diffusion strategy from distributed learning in the one bit compressed sensing framework. To estimate a common sparse vector cooperatively from only the sign of measurements, steepest-descent is used ...
arxiv
Electrospinning Technology, Machine Learning, and Control Approaches: A Review
Advanced Engineering Materials, EarlyView.Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani +5 more
wiley +1 more source
Sparsification of Matrices and Compressed Sensing [PDF]
arXiv, 2015 Compressed sensing is a signal processing technique whereby the limits imposed by the Shannon--Nyquist theorem can be exceeded provided certain conditions are imposed on the signal. Such conditions occur in many real-world scenarios, and compressed sensing has emerging applications in medical imaging, big data, and statistics.
arxiv
Advanced Engineering Materials, EarlyView.A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger +6 more
wiley +1 more source