COMPRESSED SENSING FOR MATRIX TRAFFIC RECONSTRUCTION
Compressed sensing/sampling (CS) is a new paradigm in the field of signal processing that has been widely applied to various applications such as compression of video and audio signals, direction of arrival estimation on radar, weather radar detection, telecommunication traffic modeling, and others....
Saved in:
Main Author: | Dyah Irawati, Indrarini |
---|---|
Format: | Dissertations |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/40484 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Asymptotic performance analysis of compressed sensing reconstruction algorithm
by: Ong, Yan Lin
Published: (2019) -
ISAR signal reconstruction using compressive sensing in MATLAB
by: Meiklejohn, Stewart
Published: (2016) -
APPLICATION OF THE LASSO FUNCTION IN COMPRESSIVE SENSING FOR IMAGE RECONSTRUCTION OF MICROWAVE TOMOGRAPHY
by: Kurnia Imanda, Dian -
Compressive sensing reconstruction algorithms using partially correct signal information
by: Sekar Sathiya Narayanan
Published: (2017) -
IMPLEMENTATION ITS MICROWAVE TOMOGRAPHY AND IMAGE RECONSTRUCTION USING COMPRESSIVE SENSING METHOD
by: Muliyani, Sri