Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing
The modified adaptive orthogonal matching pursuit algorithm has a lower convergence speed. To overcome this problem, an improved method with faster convergence speed is proposed. In respect of atomic selection, the proposed method computes the correlation between the measurement matrix and residual...
Saved in:
Main Authors: | Zhao Liquan, Ma Ke, Jia Yanfei |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/2782149 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Sparsity Preestimated Adaptive Matching Pursuit Algorithm
by: Xinhe Zhang, et al.
Published: (2021-01-01) -
The Sparsity Adaptive Reconstruction Algorithm Based on Simulated Annealing for Compressed Sensing
by: Yangyang Li, et al.
Published: (2019-01-01) -
Instantaneous Frequency Identification Using Adaptive Linear Chirplet Transform and Matching Pursuit
by: Chang Xu, et al.
Published: (2016-01-01) -
Application of Adaptive Image Restoration Algorithm Based on Sparsity of Block Structure in Environmental Art Design
by: Bo Liang, et al.
Published: (2021-01-01) -
Adaptive Multihypothesis Prediction Algorithm for Distributed Compressive Video Sensing
by: Jinxiu Zhu, et al.
Published: (2013-05-01)