Results 11 to 20 of about 214,668 (274)
Distributed Quantization for Compressed Sensing [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 We study distributed coding of compressed sensing (CS) measurements using vector quantizer (VQ). We develop a distributed framework for realizing optimized quantizer that enables encoding CS measurements of correlated sparse sources followed by joint ...
Chatterjee, Saikat +2 more
core +2 more sources
An Efficient Distributed Compressed Sensing Algorithm for Decentralized Sensor Network [PDF]
Sensors, 2017 We consider the joint sparsity Model 1 (JSM-1) in a decentralized scenario, where a number of sensors are connected through a network and there is no fusion center.
Jing Liu, Kaiyu Huang, Guoxian Zhang
exaly +3 more sources
Distributed Compressed Sensing off the Grid [PDF]
IEEE Signal Processing Letters, 2014 This letter investigates the joint recovery of a frequency-sparse signal ensemble sharing a common frequency-sparse component from the collection of their compressed measurements.
Jiang, Sumxin +4 more
core +2 more sources
Compressed Sensing-Based Distributed Image Compression [PDF]
Applied Sciences (Switzerland), 2014 In this paper, a new distributed block-based image compression method based on the principles of compressed sensing (CS) is introduced. The coding and decoding processes are performed entirely in the CS measurement domain. Image blocks are classified into key and non-key blocks and encoded at different rates.
Edmund M-K Lai, Amal Punchihewa
exaly +3 more sources
Time-Varying Channel Estimation Based on Distributed Compressed Sensing for OFDM Systems. [PDF]
Sensors (Basel)For orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, the estimation of time-varying multipath channels not only has a large error, which affects system performance, but also requires plenty of pilots, resulting in low
Ding Y, Deng H, Xie Y, Wang H, Sun S.
europepmc +2 more sources
An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. [PDF]
Comput Intell Neurosci, 2018 Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS). This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model. In solving this problem, the previous proposed greedy
Liu H, Hua G, Yin H, Xu Y.
europepmc +2 more sources
Distributed Compressed Video Sensing [PDF]
2009 43rd Annual Conference on Information Sciences and Systems, 2009 This paper proposes a novel framework called Distributed Compressed Video Sensing (DISCOS) - a solution for Distributed Video Coding (DVC) based on the Compressed Sensing (CS) theory. The DISCOS framework compressively samples each video frame independently at the encoder and recovers video frames jointly at the decoder by exploiting an interframe ...
Thong T. Do +5 more
openaire +1 more source
Communication-Efficient Distributed SGD With Compressed Sensing [PDF]
IEEE Control Systems Letters, 2022 We consider large scale distributed optimization over a set of edge devices connected to a central server, where the limited communication bandwidth between the server and edge devices imposes a significant bottleneck for the optimization procedure. Inspired by recent advances in federated learning, we propose a distributed stochastic gradient descent (
Yujie Tang 0002 +3 more
openaire +2 more sources
Methods for Distributed Compressed Sensing [PDF]
Journal of Sensor and Actuator Networks, 2013 Compressed sensing is a thriving research field covering a class of problems where a large sparse signal is reconstructed from a few random measurements. In the presence of several sensor nodes measuring correlated sparse signals, improvements in terms of recovery quality or the requirement for a fewer number of local measurements can be expected if ...
Dennis Sundman +2 more
openaire +2 more sources
Shock and Vibration, 2021 Planetary gear transmission system is an important transmission part of large machinery and is prone to failure. Aiming at the problem of how to extract fault information from vibration signals of nonlinear and nonstationary planetary gearboxes, a ...
Zhe Wu +4 more
semanticscholar +1 more source