An Enhanced Affine Projection Algorithm Based on the Adjustment of Input-Vector Number
An enhanced affine projection algorithm (APA) is proposed to improve the filter performance in aspects of convergence rate and steady-state estimation error, since the adjustment of the input-vector number can be an effective way to increase the convergence rate and to decrease the steady-state esti...
Main Authors: | Jaewook Shin, Jeesu Kim, Tae-Kyoung Kim, Jinwoo Yoo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/24/3/431 |
Similar Items
-
<i>ℒ</i><sub>p</sub>-Norm-like Affine Projection Sign Algorithm for Sparse System to Ensure Robustness against Impulsive Noise
by: Jaewook Shin, et al.
Published: (2021-10-01) -
Bias‐compensated affine‐projection‐like algorithms with noisy input
by: Haiquan Zhao, et al.
Published: (2016-04-01) -
Value iteration with deep neural networks for optimal control of input-affine nonlinear systems
by: Hirofumi Beppu, et al.
Published: (2021-01-01) -
Convergence Performance Improvement of Affine Projection Adaptive Algorithm for Sparse Linear System Modeling with Correlated Input Signals
by: mehdi bekrani
Published: (2019-09-01) -
Quantization for Infinite Affine Transformations
by: Doğan Çömez, et al.
Published: (2022-04-01)