.png){kind=icon}
.png){kind=icon}
Return
Augmented Set-Membership Affine Projection Algorithm and its Performance Analysis
.png){kind=icon}
PRE
AI
DOI：10.1007/s00034-025-03443-9.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The augmented affine projection algorithm (AAPA) has considerably excellent performance for highly colored input signals. However, the direct matrix inversion operation leads to a high computational complexity, especially with high projection order. Inspired by the excellent characteristics of set-membership filtering (SMF), this paper proposes the augmented set-membership affine projection algorithm (ASM-APA), which not only has low computational complexity but also offers improved performance compared with AAPA. Then, the computational complexity and stability of ASM-APA were analyzed, and the condition for maintaining the stability of the algorithm is provided. Finally, in the computer simulation phase, the results of the simulation experiments demonstrated that ASM-APA achieved superior performance compared to AAPA.
Keywords:
Augmented affine projection algorithm
Set-membership filtering
Stereophonic acoustic echo cancellation
Computational complexity
Journal
C
IF:
2
Papers:
318
Citations:
0