Results 281 to 290 of about 555,264 (327)

Orthogonal Projection and Distributed Compressed Sensing-Based Impulsive Noise Estimation for Underwater Acoustic OSDM Communication

IEEE Internet of Things Journal, 2023
Orthogonal signal division multiplexing (OSDM) is an emerging method for Internet of Underwater Things (IoUT) networks. The impulsive noise, the carrier frequency offset (CFO), and the time-varying underwater acoustic channel decrease the performance of ...
Yuehai Zhou, Rong Wang, Xiaoyu Yang, F. Tong   +3 more
semanticscholar   +1 more source

Thresholding based Stochastic Robust Algorithm for Distributed Compressed Sensing

International Symposium on Circuits and Systems, 2023
In this paper, we first present a stochastic gradient based robust algorithm for recovering a sparse signal from compressed measurements corrupted by impulsive noise for large problems where calculation of the full gradient is expensive.
Ketan Atul Bapat, M. Chakraborty
semanticscholar   +1 more source

Adaptive Cooperative Distributed Compressed Sensing for Edge Devices: A Multiagent Deep Reinforcement Learning Approach

2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2021
We propose a lightweight and adaptive distributed compressed sensing (DCS) with multi-sensor collaboration based on multiagent deep reinforcement learning (LADICS-MARL).
M. Sekine, Satoshi Ikada
semanticscholar   +1 more source

Distributed Compressed Estimation Based on Compressive Sensing [PDF]

IEEE Signal Processing Letters, 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.
Songcen Xu, Rodrigo C. de Lamare, H. Vincent Poor   +2 more
openaire   +1 more source

Distributed Network Reconstruction Based on Binary Compressed Sensing via ADMM

IEEE Transactions on Network Science and Engineering, 2023
At present, network model is a general framework for the representation of complex system, and its structure is the fundamental and prerequisite for control and other applications of networked system.
Yishun Liu, Keke Huang, Chun-Pei Yang, Zhen Wang   +3 more
semanticscholar   +1 more source

Distributed compressive video sensing

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009
Low-complexity video encoding has been applicable to several emerging applications. Recently, distributed video coding (DVC) has been proposed to reduce encoding complexity to the order of that for still image encoding. In addition, compressive sensing (CS) has been applicable to directly capture compressed image data efficiently.
Li-Wei Kang, Chun-Shien Lu
openaire   +2 more sources

Common-Innovation Subspace Pursuit for Distributed Compressed Sensing in Wireless Sensor Networks

IEEE Sensors Journal, 2019
We study the sparse signal reconstruction problem in a wireless sensor network (WSN) using distributed compressed sensing. The sparse signals from multiple sensors are modeled by the mixed-support set model that characterizes the inter-correlation of the
Jing Liu, Kaiyu Huang, Xianghua Yao
semanticscholar   +1 more source

Compressed Sensing for Distributed Systems

2015
This book presents a survey of the state-of-the art in the exciting and timely topic of compressed sensing for distributed systems. It has to be noted that, while compressed sensing has been studied for some time now, its distributed applications are relatively new.
COLUCCIA, GIULIO, RAVAZZI, CHIARA, MAGLI, ENRICO   +2 more
openaire   +4 more sources

Measurement compression in distributed compressive video sensing

2010 3rd IEEE International Conference on Broadband Network and Multimedia Technology (IC-BNMT), 2010
In some application scenarios a video codec with simple encoder and complex decoder is desired. Distributed video coding (DVC) and compressive sensing (CS) theory proposed recently are two techniques suitable to such scenarios, and several video coding schemes that combine CS with DVC have appeared.
Bojin Zhuang, Xiaoran Hao, Anni Cai
openaire   +2 more sources

Mobile distributed compressive sensing for spectrum sensing

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
This paper studies the effect of mobility on the sensing performance of a cognitive radio network with mobile nodes. The secondary nodes sense the spectrum using a distributed compressive sensing approach to detect the available channels. Distributed compressive sensing is suggested to reduce the number of samples by exploiting correlation between the ...
Shahram Shahbazpanahi, Veria Havary-Nassab, Shahrokh Valaee   +2 more
openaire   +2 more sources