A Novel Detection Scheme with Multiple Observations for Sparse Signal Based on Likelihood Ratio Test with Sparse Estimation
Recently, the problem of detecting unknown and arbitrary sparse signals has attracted much attention from researchers in various fields. However, there remains a peck of difficulties and challenges as the key information is only contained in a small fraction of the signal and due to the absence of p...
Main Authors: | Hongbo Zhao, Lei Chen, Wenquan Feng, Chuan Lei |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/8535486 |
Similar Items
-
Restricted maximum likelihood estimation of covariances in sparse linear models
by: Groeneveld Eildert, et al.
Published: (1998-01-01) -
Sub-Graph Based Joint Sparse Graph for Sparse Code Multiple Access Systems
by: Ke Lai, et al.
Published: (2018-01-01) -
Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach
by: Chen Chen, et al.
Published: (2019-05-01) -
Sparse signal recovery from modulo observations
by: Viraj Shah, et al.
Published: (2021-04-01) - Monte Carlo Likelihood Estimation for Conditional Autoregressive Models with Application to Sparse Spatiotemporal Data