Efficient Recovery of Linear Predicted Coefficients Based on Adaptive Steepest Descent Algorithm in Signal Compression for End-to-End Communications
The efficiency of recovery and signal decoding efficacy at the receiver in end-to-end communications using linearly predicted coefficients are susceptible to errors, especially for highly compressed signals. In this paper, we propose a method to efficiently recover linearly predicted coefficients fo...
Saved in:
Main Authors: | Abel Kamagara, Abbas Kagudde, Baris Atakan |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/jece/6570183 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Optimally Generalized Steepest-Descent Algorithm for Solving Ill-Posed Linear Systems
by: Chein-Shan Liu
Published: (2013-01-01) -
Hybrid Steepest-Descent Methods for Triple Hierarchical Variational Inequalities
by: L. C. Ceng, et al.
Published: (2015-01-01) -
Bounding Regions to Plane Steepest Descent Curves of Quasiconvex Families
by: Marco Longinetti, et al.
Published: (2016-01-01) -
Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
by: Nidhi Goel, et al.
Published: (2014-01-01) -
The Hybrid Steepest Descent Method for Split Variational Inclusion and Constrained Convex Minimization Problems
by: Jitsupa Deepho, et al.
Published: (2014-01-01)