An improved reconstruction algorithm based on compressed sensing for power quality analysis
The application and analysis of compressive sensing theory in power quality has been received more and more attention. Reconstruction algorithm is one of the most important contents of the compressive sensing theory, and as one of the reconstruction algorithms with its excellent reconstruction perfo...
Main Authors: | Quandang Ma, Xin Quan, Yi Zhong, Jiwei Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2016-12-01
|
Series: | Cogent Engineering |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311916.2016.1247611 |
Similar Items
-
A Systematic Review of Compressive Sensing: Concepts, Implementations and Applications
by: Meenu Rani, et al.
Published: (2018-01-01) -
A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging
by: Ping Cheng, et al.
Published: (2019-01-01) -
High‐throughput and low‐area implementation of orthogonal matching pursuit algorithm for compressive sensing reconstruction
by: Vu Quan Nguyen, et al.
Published: (2019-12-01) -
Compressive sensing based PAPR reduction in OFDM systems: Modified orthogonal matching pursuit approach
by: Ghanbar Azarnia, et al.
Published: (2020-12-01) -
Fusion of Sparse Reconstruction Algorithms in Compressed Sensing
by: Ambat, Sooraj K
Published: (2018)