An improved auto-calibration algorithm based on sparse Bayesian learning framework

An improved auto-calibration algorithm based on sparse Bayesian learning framework

This letter considers the multiplicative perturbation problem in compressive sensing, which has become an increasingly important issue on obtaining robust performance for practical applications. The problem is formulated in a probabilistic model and an auto-calibration sparse Bayesian learning algor...

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Bibliographic Details
Main Authors: Zhao, Lifan, Bi, Guoan, Wang, Lu, Zhang, Haijian
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/99635
http://hdl.handle.net/10220/17417

Internet

https://hdl.handle.net/10356/99635
http://hdl.handle.net/10220/17417

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