Unscented compressed sensing
In this paper we present a novel compressed sensing (CS) algorithm for the recovery of compressible, possibly time-varying, signal from a sequence of noisy observations. The newly derived scheme is based on the acclaimed unscented Kalman filter (UKF), and is essentially self reliant in the sense tha...
Saved in:
Main Authors: | Carmi, Avishy Y., Mihaylova, Lyudmila., Kanevsky, Dimitri. |
---|---|
Other Authors: | School of Mechanical and Aerospace Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/85297 http://hdl.handle.net/10220/13412 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Unscented Kalman filter and particle filter for chaotic synchronization
by: Kurian, A.P., et al.
Published: (2014) -
DST index prediction using joint and dual unscented Kalman filter
by: Kaewkham-Ai B., et al.
Published: (2014) -
Dst index prediction using joint and dual unscented Kalman filter
by: Kaewkham-ai B., et al.
Published: (2014) -
Friction estimation and compensation for rotational system using unscented Kalman filter
by: Boonsri Kaewkham-Ai, et al.
Published: (2018) -
Friction estimation and compensation for rotational system using unscented Kalman filter
by: Boonsri Kaewkham-Ai, et al.
Published: (2018)