Results 261 to 270 of about 7,796 (295)
Some of the next articles are maybe not open access.
Distributed compressive sensing of light field
SPIE Proceedings, 2015The light field camera array can be regarded as distributed source. The image sequence captured by a camera array contains the inter-correlation and intra-correlation. In order to utilize the correlation, a joint sparsity model was established to combine the light field with distributed compressive sensing, and a recovery algorithm was proposed for the
Rui Lei +3 more
openaire +1 more source
Distributed compressed sensing in dynamic networks
2013 IEEE Global Conference on Signal and Information Processing, 2013We consider the problem of in-network compressed sensing, where the goal is to recover a global, sparse signal from local measurements using only local computation and communication. Our approach to this distributed compressed sensing problem is based on the centralized Iterative Hard Thresholding algorithm (IHT).
Stacy Patterson +2 more
openaire +1 more source
Perceptual-Based Distributed Compressed Video Sensing
2015 Data Compression Conference, 2015This paper proposes an approach of compressed sensing (CS) of video in which distributed video coding DVC and CS are integrated as in [1], and the sensing matrix is modulated in suit of [2] but with proposed fixed weighting strategy to certain DCT coefficients in an effort to improve the visual quality of reconstruction.
Sawsan Abdellatif Abdelsalam Elsayed +1 more
openaire +1 more source
Distributed Compressive Sensing Based Spectrum Sensing Method
2018For multi-antenna system, the difficulties of preforming spectrum sensing are high sampling rate and hardware cost. To alleviate these problems, we propose a novel utilization of distributed compressive sensing for the multi-antenna case. The multi-antenna signals first are sampled in terms of distributed compressive sensing, and then the time-domain ...
Yanping Chen, Yulong Gao, Yongkui Ma
openaire +1 more source
Perceptually-aware distributed compressive video sensing
2015 Visual Communications and Image Processing (VCIP), 2015By combining the advantages of distributed video coding (DVC) and compressive sensing (CS), distributed compressive video sensing (DCVS) poses itself as a very promising low-complexity video coding framework for distributed applications. In order to improve the rate-distortion performance of DCVS, much research efforts have been focused on exploring ...
Jin Xu +3 more
openaire +1 more source
Distributed compressive wide-band spectrum sensing
2009 Information Theory and Applications Workshop, 2009We consider a compressive wide-band spectrum sensing scheme for cognitive radio networks. Each cognitive radio (CR) sensing receiver transforms the received analog signal from the licensed system in to a digital signal using an analog-to-information converter.
null Ying Wang +3 more
openaire +1 more source
Distributed Outlier Detection using Compressive Sensing
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, 2015Computing outliers and related statistical aggregation functions from large-scale big data sources is a critical operation in many cloud computing scenarios, e.g. service quality assurance, fraud detection, or novelty discovery. Such problems commonly have to be solved in a distributed environment where each node only has a local slice of the entirety ...
Ying Yan +6 more
openaire +1 more source
Optimal quantization for distributed compressive sensing
2017 25th Signal Processing and Communications Applications Conference (SIU), 2017In large scale distributed sensing systems such as wireless sensor networks (WSNs), Distributed Source Coding Methods can be difficult to apply, due to lack of signal statistics. Distributed Compressive Sensing (DCS) emerges as a cure to this problem.
Mehmet Yamac, Can Altay, Bulent Sankur
openaire +1 more source
Parallel pursuit for distributed compressed sensing
2013 IEEE Global Conference on Signal and Information Processing, 2013We develop a greedy (pursuit) algorithm for a distributed compressed sensing problem where multiple sensors are connected over a de-centralized network. The algorithm is referred to as distributed parallel pursuit and it solves the distributed compressed sensing problem in two stages; first by a distributed estimation stage and then an information ...
Dennis Sundman +2 more
openaire +1 more source
Distributed compressive sensing in heterogeneous sensor network
Signal Processing, 2016In this paper, we apply distributed compressive sensing (DCS) in heterogeneous sensor network (HSN). Combining different types of measurement matrices and different numbers of measurements, we firstly investigate three different scenarios in which HSN is used for signal acquisition.
Jing Liang, Chengchen Mao
openaire +1 more source